AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2023
Gaglio, Giuseppe Fulvio; Augello, Agnese; Pipitone, Arianna; Gallo, Luigi; Sorbello, Rosario; Chella, Antonio
Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm Best Paper Proceedings Article
In: Bruno, Alessandro; Pipitone, Arianna; Manzotti, Riccardo; Augello, Agnese; Mazzeo, Pier Luigi; Vella, Filippo; Chella, Antonio (Ed.): Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023), pp. 30–43, CEUR, Roma, Italy, 2023, ISSN: 1613-0073.
Abstract | BibTeX | Tags: Artificial intelligence, Virtual Reality
@inproceedings{gaglioMoralMediatorsMetaverse2023a,
title = {Moral Mediators in the Metaverse: Exploring Artificial Morality through a Talking Cricket Paradigm},
author = { Giuseppe Fulvio Gaglio and Agnese Augello and Arianna Pipitone and Luigi Gallo and Rosario Sorbello and Antonio Chella},
editor = { Alessandro Bruno and Arianna Pipitone and Riccardo Manzotti and Agnese Augello and Pier Luigi Mazzeo and Filippo Vella and Antonio Chella},
issn = {1613-0073},
year = {2023},
date = {2023-11-01},
urldate = {2023-11-01},
booktitle = {Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023)},
volume = {3563},
pages = {30–43},
publisher = {CEUR},
address = {Roma, Italy},
series = {CEUR Workshop Proceedings},
abstract = {As technological innovations continue to shape our social interactions, the Metaverse introduces immersive experiences that reflect real-life practices, accessible by users through their avatars. However, these interactions also bring forth potential negative aspects, including discrimination and cyberbullying. While current automatic detection systems exist, educating users on appropriate behaviour remains crucial. Leveraging recent advancements in Artificial Intelligence, the paper focuses on creating virtual AI-controlled moral agents within the Metaverse to guide users in dealing with moral dilemmas. The research aims to understand how such agents impact users’ perceptions and behaviours in ethically challenging virtual environments.},
keywords = {Artificial intelligence, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
As technological innovations continue to shape our social interactions, the Metaverse introduces immersive experiences that reflect real-life practices, accessible by users through their avatars. However, these interactions also bring forth potential negative aspects, including discrimination and cyberbullying. While current automatic detection systems exist, educating users on appropriate behaviour remains crucial. Leveraging recent advancements in Artificial Intelligence, the paper focuses on creating virtual AI-controlled moral agents within the Metaverse to guide users in dealing with moral dilemmas. The research aims to understand how such agents impact users’ perceptions and behaviours in ethically challenging virtual environments.
Augello, Agnese; Caggianese, Giuseppe; Gallo, Luigi
VITE I Conference: Contributes in the Frame of a Human Augmentation Space Journal Article
In: Journal of the Italian Astronomical Society, vol. 94, no. 1, 2023.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Augmented Reality, Enactivism, Human augmentation, Virtual Reality
@article{augelloVITEConferenceContributes2023,
title = {VITE I Conference: Contributes in the Frame of a Human Augmentation Space},
author = { Agnese Augello and Giuseppe Caggianese and Luigi Gallo},
url = {https://memsait.oa-roma.inaf.it/wp-content/uploads/2023/05/2023MmSAI..1...97A.pdf},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Journal of the Italian Astronomical Society},
volume = {94},
number = {1},
abstract = {Our contribution is to examine some of the works presented during the VITE I conference from a perspective of Human Augmentation (HA). In the paper, we provide a definition of HA framed by Enactivism theory, also schematizing our viewpoint in a threedimensional space and into an architecture for designing and implementing HA systems.},
keywords = {Artificial intelligence, Augmented Reality, Enactivism, Human augmentation, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Our contribution is to examine some of the works presented during the VITE I conference from a perspective of Human Augmentation (HA). In the paper, we provide a definition of HA framed by Enactivism theory, also schematizing our viewpoint in a threedimensional space and into an architecture for designing and implementing HA systems.
2022
Peretokin, Vadim; Basdekis, Ioannis; Kouris, Ioannis; Maggesi, Jonatan; Sicuranza, Mario; Su, Qiqi; Acebes, Alberto; Bucur, Anca; Mukkala, Vinod; Pozdniakov, Konstantin; Kloukinas, Christos; Koutsouris, Dimitrios; Iliadou, Elefteria; Leontsinis, Ioannis; Gallo, Luigi; Pietro, Giuseppe De; Spanoudakis, George
Overview of the SMART-BEAR Technical Infrastructure Best Paper Proceedings Article
In: Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and E-Health, pp. 117–125, SCITEPRESS - Science and Technology Publications, Online, 2022, ISBN: 978-989-758-566-1.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics
@inproceedings{peretokinOverviewSMARTBEARTechnical2022,
title = {Overview of the SMART-BEAR Technical Infrastructure},
author = { Vadim Peretokin and Ioannis Basdekis and Ioannis Kouris and Jonatan Maggesi and Mario Sicuranza and Qiqi Su and Alberto Acebes and Anca Bucur and Vinod Mukkala and Konstantin Pozdniakov and Christos Kloukinas and Dimitrios Koutsouris and Elefteria Iliadou and Ioannis Leontsinis and Luigi Gallo and Giuseppe De Pietro and George Spanoudakis},
doi = {10.5220/0011082700003188},
isbn = {978-989-758-566-1},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and E-Health},
pages = {117--125},
publisher = {SCITEPRESS - Science and Technology Publications},
address = {Online},
abstract = {This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.},
keywords = {Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.
2020
Caggianese, Giuseppe; Pietro, Giuseppe De; Esposito, Massimo; Gallo, Luigi; Minutolo, Aniello; Neroni, Pietro
Discovering Leonardo with Artificial Intelligence and Holograms: A User Study Journal Article
In: Pattern Recognition Letters, vol. 131, pp. 361–367, 2020, ISSN: 0167-8655.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Conversational systems, Cultural heritage, Holograms, Touchless interfaces, User study
@article{caggianeseDiscoveringLeonardoArtificial2020,
title = {Discovering Leonardo with Artificial Intelligence and Holograms: A User Study},
author = { Giuseppe Caggianese and Giuseppe De Pietro and Massimo Esposito and Luigi Gallo and Aniello Minutolo and Pietro Neroni},
doi = {10.1016/j.patrec.2020.01.006},
issn = {0167-8655},
year = {2020},
date = {2020-01-01},
journal = {Pattern Recognition Letters},
volume = {131},
pages = {361--367},
abstract = {Cutting-edge visualization and interaction technologies are increasingly used in museum exhibitions, providing novel ways to engage visitors and enhance their cultural experience. Existing applications are commonly built upon a single technology, focusing on visualization, motion or verbal interaction (e.g., high-resolution projections, gesture interfaces, chatbots). This aspect limits their potential, since museums are highly heterogeneous in terms of visitors profiles and interests, requiring multi-channel, customizable interaction modalities. To this aim, this work describes and evaluates an artificial intelligence powered, interactive holographic stand aimed at describing Leonardo Da Vinci's art. This system provides the users with accurate 3D representations of Leonardo's machines, which can be interactively manipulated through a touchless user interface. It is also able to dialog with the users in natural language about Leonardo's art, while keeping the context of conversation and interactions. Furthermore, the results of a large user study, carried out during art and tech exhibitions, are presented and discussed. The goal was to assess how users of different ages and interests perceive, understand and explore cultural objects when holograms and artificial intelligence are used as instruments of knowledge and analysis.},
keywords = {Artificial intelligence, Conversational systems, Cultural heritage, Holograms, Touchless interfaces, User study},
pubstate = {published},
tppubtype = {article}
}
Cutting-edge visualization and interaction technologies are increasingly used in museum exhibitions, providing novel ways to engage visitors and enhance their cultural experience. Existing applications are commonly built upon a single technology, focusing on visualization, motion or verbal interaction (e.g., high-resolution projections, gesture interfaces, chatbots). This aspect limits their potential, since museums are highly heterogeneous in terms of visitors profiles and interests, requiring multi-channel, customizable interaction modalities. To this aim, this work describes and evaluates an artificial intelligence powered, interactive holographic stand aimed at describing Leonardo Da Vinci's art. This system provides the users with accurate 3D representations of Leonardo's machines, which can be interactively manipulated through a touchless user interface. It is also able to dialog with the users in natural language about Leonardo's art, while keeping the context of conversation and interactions. Furthermore, the results of a large user study, carried out during art and tech exhibitions, are presented and discussed. The goal was to assess how users of different ages and interests perceive, understand and explore cultural objects when holograms and artificial intelligence are used as instruments of knowledge and analysis.
2019
Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, Giovanni
Concepts, Proto-Concepts, and Shades of Reasoning in Neural Networks Proceedings Article
In: A., Chella A. Infantino I. Lieto A. Lieto A. Chella (Ed.): CEUR Workshop Proceedings, pp. 111–124, CEUR-WS, 2019.
Abstract | BibTeX | Tags: Artificial intelligence, Cognitive Systems, Conceptual Spaces
@inproceedings{augelloConceptsProtoconceptsShades2019,
title = {Concepts, Proto-Concepts, and Shades of Reasoning in Neural Networks},
author = { Agnese Augello and Salvatore Gaglio and Gianluigi Oliveri and Giovanni Pilato},
editor = { Chella A. Infantino I. Lieto A. Lieto A. Chella A.},
year = {2019},
date = {2019-01-01},
booktitle = {CEUR Workshop Proceedings},
volume = {2418},
pages = {111--124},
publisher = {CEUR-WS},
abstract = {One of the most important functions of concepts is that of producing classifications; and since there are at least two different types of such things, we better give a preliminary short description of them both. The first kind of classification is based on the existence of a property common to all the things that fall under a concept. The second, instead, relies on similarities between the objects belonging to a certain class A and certain elements of a subclass AS of A, the so-called `stereotypes.' In what follows, we are going to call `proto-concepts' all those concepts whose power of classification depends on stereotypes, leaving the term `concepts' for all the others. The main aim of this article is showing that, if a proto-concept is given simply in terms of the ability to make the appropriate distinctions, then there are stimulus-response cognitive systems — whose way of manipulating information is based on Neural Networks (NN) — able to make the appropriate distinctions typical of proto-concepts in the absence of high-level cognitive features such as consciousness, understanding, representation, and intentionality. This, of course, implies that either proto-concepts cannot be given simply in terms of the ability to make the appropriate distinctions, or that we need to modify our traditional conception of mind, because the induction-like procedure followed by a NN in producing its classifications, far from being the ultimate product of a `linguistic mind,' is, rather, inscribed in the nuts and bolts of the system's biology/electronics to which the NN belongs. textcopyright 2019 CEUR-WS. All rights reserved.},
keywords = {Artificial intelligence, Cognitive Systems, Conceptual Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
One of the most important functions of concepts is that of producing classifications; and since there are at least two different types of such things, we better give a preliminary short description of them both. The first kind of classification is based on the existence of a property common to all the things that fall under a concept. The second, instead, relies on similarities between the objects belonging to a certain class A and certain elements of a subclass AS of A, the so-called `stereotypes.' In what follows, we are going to call `proto-concepts' all those concepts whose power of classification depends on stereotypes, leaving the term `concepts' for all the others. The main aim of this article is showing that, if a proto-concept is given simply in terms of the ability to make the appropriate distinctions, then there are stimulus-response cognitive systems — whose way of manipulating information is based on Neural Networks (NN) — able to make the appropriate distinctions typical of proto-concepts in the absence of high-level cognitive features such as consciousness, understanding, representation, and intentionality. This, of course, implies that either proto-concepts cannot be given simply in terms of the ability to make the appropriate distinctions, or that we need to modify our traditional conception of mind, because the induction-like procedure followed by a NN in producing its classifications, far from being the ultimate product of a `linguistic mind,' is, rather, inscribed in the nuts and bolts of the system's biology/electronics to which the NN belongs. textcopyright 2019 CEUR-WS. All rights reserved.
Caggianese, Giuseppe; Cuomo, Salvatore; Esposito, Massimo; Franceschini, Marco; Gallo, Luigi; Infarinato, Francesco; Minutolo, Aniello; Piccialli, Francesco; Romano, Paola
Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments Journal Article
In: IEEE Transactions on Industrial Informatics, vol. 15, no. 1, pp. 517–526, 2019, ISSN: 1941-0050.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Healthcare, Natural User Interfaces, Rehabilitation, Serious game, Stroke
@article{caggianeseSeriousGamesInCloud2019,
title = {Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments},
author = { Giuseppe Caggianese and Salvatore Cuomo and Massimo Esposito and Marco Franceschini and Luigi Gallo and Francesco Infarinato and Aniello Minutolo and Francesco Piccialli and Paola Romano},
doi = {10.1109/TII.2018.2856097},
issn = {1941-0050},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Industrial Informatics},
volume = {15},
number = {1},
pages = {517--526},
abstract = {During the last years, the significant increase in the number of patients in need of rehabilitation has generated an unsustainable economic impact on healthcare systems, implying a reduction in therapeutic supervision and support for each patient. To address this problem, this paper proposes a telerehabilitation system based on serious games and in-cloud data analytics services, in accordance with Industry 4.0 design principles regarding modularity, service orientation, decentralization, virtualization, and real-time capability. The system, specialized for poststroke patients, comprises components for real-time acquisition of patient's motor data and a decision support service for their analysis. Raw data, reports, and recommendations are made available on the cloud to clinical operators to remotely assess rehabilitation outcomes and dynamically improve therapies. Furthermore, the results of a pilot study on the clinical impact deriving from the adoption of the proposed solution, and of a qualitative analysis about its acceptance, are presented and discussed.},
keywords = {Artificial intelligence, Healthcare, Natural User Interfaces, Rehabilitation, Serious game, Stroke},
pubstate = {published},
tppubtype = {article}
}
During the last years, the significant increase in the number of patients in need of rehabilitation has generated an unsustainable economic impact on healthcare systems, implying a reduction in therapeutic supervision and support for each patient. To address this problem, this paper proposes a telerehabilitation system based on serious games and in-cloud data analytics services, in accordance with Industry 4.0 design principles regarding modularity, service orientation, decentralization, virtualization, and real-time capability. The system, specialized for poststroke patients, comprises components for real-time acquisition of patient's motor data and a decision support service for their analysis. Raw data, reports, and recommendations are made available on the cloud to clinical operators to remotely assess rehabilitation outcomes and dynamically improve therapies. Furthermore, the results of a pilot study on the clinical impact deriving from the adoption of the proposed solution, and of a qualitative analysis about its acceptance, are presented and discussed.
2018
Augello, Agnese; Infantino, Ignazio; Lieto, Antonio; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
Towards a Dual Process Approach to Computational Explanation in Human-Robot Social Interaction Proceedings Article
In: A., Bhatt M. Bhatt M. Lieto (Ed.): CEUR Workshop Proceedings, pp. 21–26, CEUR-WS, 2018.
Abstract | BibTeX | Tags: Artificial intelligence, Dual Process Theory, Explainability, Human Robot Interaction
@inproceedings{augelloDualProcessApproach2018,
title = {Towards a Dual Process Approach to Computational Explanation in Human-Robot Social Interaction},
author = { Agnese Augello and Ignazio Infantino and Antonio Lieto and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
editor = { Bhatt M. Bhatt M. Lieto A.},
year = {2018},
date = {2018-01-01},
booktitle = {CEUR Workshop Proceedings},
volume = {2099},
pages = {21--26},
publisher = {CEUR-WS},
abstract = {The capacity for AI systems of explaining their decisions represents nowadays a huge challenge for both academia and industry (e.g. let us think at the autonomous cars sector). In this paper we sketch a preliminary proposal suggesting the adoption of a dual process approach for computational explanation. Our proposal is declined in the field of Human-Robot Social Interaction; namely, in a gesture recognition task. textcopyright 2018 CEUR-WS. All rights reserved.},
keywords = {Artificial intelligence, Dual Process Theory, Explainability, Human Robot Interaction},
pubstate = {published},
tppubtype = {inproceedings}
}
The capacity for AI systems of explaining their decisions represents nowadays a huge challenge for both academia and industry (e.g. let us think at the autonomous cars sector). In this paper we sketch a preliminary proposal suggesting the adoption of a dual process approach for computational explanation. Our proposal is declined in the field of Human-Robot Social Interaction; namely, in a gesture recognition task. textcopyright 2018 CEUR-WS. All rights reserved.
2017
Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, Giovanni
On Representing Concepts in Highdimensional Linear Spaces Proceedings Article
In: D., Lieto A. Bhatt M. Oltramari A. Vernon (Ed.): CEUR Workshop Proceedings, pp. 148–157, CEUR-WS, 2017.
Abstract | BibTeX | Tags: Artificial intelligence, Conceptual Spaces
@inproceedings{augelloRepresentingConceptsHighdimensional2017,
title = {On Representing Concepts in Highdimensional Linear Spaces},
author = { Agnese Augello and Salvatore Gaglio and Gianluigi Oliveri and Giovanni Pilato},
editor = { Lieto A. Bhatt M. Oltramari A. Vernon D.},
year = {2017},
date = {2017-01-01},
booktitle = {CEUR Workshop Proceedings},
volume = {1895},
pages = {148--157},
publisher = {CEUR-WS},
abstract = {Producing a mathematical model of concepts is a very important issue in artificial intelligence, because if such a model were found this, besides being a very interesting result in its own right, would also contribute to the emergence of what we could call the 'mathematics of thought.' One of the most interesting attempts made in this direction is P. Gärdenfors' theory of conceptual spaces, a theory which is mostly presented by its author in an informal way. The main aim of the present article is contributing to Gärdenfors' theory of conceptual spaces by discussing some of the advantages which derive from the possibility of representing concepts in high-dimensional linear spaces.},
keywords = {Artificial intelligence, Conceptual Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
Producing a mathematical model of concepts is a very important issue in artificial intelligence, because if such a model were found this, besides being a very interesting result in its own right, would also contribute to the emergence of what we could call the 'mathematics of thought.' One of the most interesting attempts made in this direction is P. Gärdenfors' theory of conceptual spaces, a theory which is mostly presented by its author in an informal way. The main aim of the present article is contributing to Gärdenfors' theory of conceptual spaces by discussing some of the advantages which derive from the possibility of representing concepts in high-dimensional linear spaces.
Manfré, Adriano; Infantino, Ignazio; Augello, Agnese; Pilato, Giovanni; Vella, Filippo
Learning by Demonstration for a Dancing Robot within a Computational Creativity Framework Proceedings Article
In: Proceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017, pp. 434–439, Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 978-1-5090-6723-7.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Computational Creativity, Social Robots
@inproceedings{manfreLearningDemonstrationDancing2017,
title = {Learning by Demonstration for a Dancing Robot within a Computational Creativity Framework},
author = { Adriano Manfré and Ignazio Infantino and Agnese Augello and Giovanni Pilato and Filippo Vella},
doi = {10.1109/IRC.2017.58},
isbn = {978-1-5090-6723-7},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017},
pages = {434--439},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The paper presents a system that learns a set of movements for a creative dancing robot. A human user only dances in front of an 3D camera, and automatically the acquisition system segments the acquired sequence of postures depending on the detected music beat and rhythm. A clustering phase allows the system to group the identified actions in 20 classes, defining the set of movements that is typical of a given person. Analysis of the k-mean algorithm outcomes using different distances is reported. The human postures are translated in the corresponding robot joints configurations and are used to compose dance choreographies creatively. A cognitive architecture developed in previous works drives the process of dance creation. Experimentation shows the sets of movements derived from human users with different dance skills. Audience evaluates the robot performances based on these sets, and results are coherent with the quality and richness of the acquired movements. textcopyright 2017 IEEE.},
keywords = {Artificial intelligence, Cognitive Architectures, Computational Creativity, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper presents a system that learns a set of movements for a creative dancing robot. A human user only dances in front of an 3D camera, and automatically the acquisition system segments the acquired sequence of postures depending on the detected music beat and rhythm. A clustering phase allows the system to group the identified actions in 20 classes, defining the set of movements that is typical of a given person. Analysis of the k-mean algorithm outcomes using different distances is reported. The human postures are translated in the corresponding robot joints configurations and are used to compose dance choreographies creatively. A cognitive architecture developed in previous works drives the process of dance creation. Experimentation shows the sets of movements derived from human users with different dance skills. Audience evaluates the robot performances based on these sets, and results are coherent with the quality and richness of the acquired movements. textcopyright 2017 IEEE.
2016
Augello, Agnese; Infantino, Ignazio; Manfré, Adriano; Pilato, Giovanni; Vella, Filippo
Analyzing and Discussing Primary Creative Traits of a Robotic Artist Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 17, pp. 22–31, 2016, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Creative Process, Human computer interaction, Human Robot Interaction, Humanoid Robots, Information Management, Social Robots
@article{augelloAnalyzingDiscussingPrimary2016,
title = {Analyzing and Discussing Primary Creative Traits of a Robotic Artist},
author = { Agnese Augello and Ignazio Infantino and Adriano Manfré and Giovanni Pilato and Filippo Vella},
doi = {10.1016/j.bica.2016.07.006},
issn = {2212683X},
year = {2016},
date = {2016-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {17},
pages = {22--31},
abstract = {We present a robot aimed at producing a collage formed by a mix of photomontage and digital collage. The artwork is created after a visual and verbal interaction with a human user. The proposed system, through a cognitive architecture, allows the robot to manage the three different phases of the real-time artwork process: (i) taking inspiration from information captured during the postural and verbal interaction with the human user and from the analysis of his/her social web items; (ii) performing a creative process to obtain a model of the artwork; (iii) executing the creative collage composition and providing a significant title. The paper explains, primarily, how the creativity traits of the robot are implemented in the proposed architecture: how ideas are generated through an elaboration that is modulated by affective influences; how the personality and the artistic behavior are modeled by learning and guided by external evaluations; the motivation and the confidence evolution as a function of successes or failures. textcopyright 2016 Elsevier B.V. All rights reserved.},
keywords = {Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Creative Process, Human computer interaction, Human Robot Interaction, Humanoid Robots, Information Management, Social Robots},
pubstate = {published},
tppubtype = {article}
}
We present a robot aimed at producing a collage formed by a mix of photomontage and digital collage. The artwork is created after a visual and verbal interaction with a human user. The proposed system, through a cognitive architecture, allows the robot to manage the three different phases of the real-time artwork process: (i) taking inspiration from information captured during the postural and verbal interaction with the human user and from the analysis of his/her social web items; (ii) performing a creative process to obtain a model of the artwork; (iii) executing the creative collage composition and providing a significant title. The paper explains, primarily, how the creativity traits of the robot are implemented in the proposed architecture: how ideas are generated through an elaboration that is modulated by affective influences; how the personality and the artistic behavior are modeled by learning and guided by external evaluations; the motivation and the confidence evolution as a function of successes or failures. textcopyright 2016 Elsevier B.V. All rights reserved.
Augello, Agnese; Infantino, Ignazio; Lieto, Antonio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Artwork Creation by a Cognitive Architecture Integrating Computational Creativity and Dual Process Approaches Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 15, pp. 74–86, 2016, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Dual Process Theory, Social Robots
@article{augelloArtworkCreationCognitive2016,
title = {Artwork Creation by a Cognitive Architecture Integrating Computational Creativity and Dual Process Approaches},
author = { Agnese Augello and Ignazio Infantino and Antonio Lieto and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1016/j.bica.2015.09.007},
issn = {2212683X},
year = {2016},
date = {2016-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {15},
pages = {74--86},
abstract = {The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from different domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform. textcopyright 2015 Elsevier B.V. All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Dual Process Theory, Social Robots},
pubstate = {published},
tppubtype = {article}
}
The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from different domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform. textcopyright 2015 Elsevier B.V. All rights reserved.
Augello, Agnese; Infantino, Ignazio; Manfr`e, Adriano; Pilato, Giovanni; Vella, Filippo; Chella, Antonio
Creation and Cognition for Humanoid Live Dancing Journal Article
In: Robotics and Autonomous Systems, vol. 86, pp. 128–137, 2016, ISSN: 09218890.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Social Robots
@article{augelloCreationCognitionHumanoid2016,
title = {Creation and Cognition for Humanoid Live Dancing},
author = { Agnese Augello and Ignazio Infantino and Adriano Manfr{`e} and Giovanni Pilato and Filippo Vella and Antonio Chella},
doi = {10.1016/j.robot.2016.09.012},
issn = {09218890},
year = {2016},
date = {2016-01-01},
journal = {Robotics and Autonomous Systems},
volume = {86},
pages = {128--137},
abstract = {Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience. textcopyright 2016},
keywords = {Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Cognitive Systems, Computational Creativity, Creative Agents, Social Robots},
pubstate = {published},
tppubtype = {article}
}
Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience. textcopyright 2016
Augello, Agnese; Gentile, Manuel; Weideveld, Lucas; Dignum, Frank
Dialogues as Social Practices for Serious Games Journal Article
In: Frontiers in Artificial Intelligence and Applications, vol. 285, pp. 1732–1733, 2016, ISSN: 09226389.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Chatbots, Conversational Agents, Gamification, Serious game, Social Practices
@article{augelloDialoguesSocialPractices2016,
title = {Dialogues as Social Practices for Serious Games},
author = { Agnese Augello and Manuel Gentile and Lucas Weideveld and Frank Dignum},
editor = { Dignum F. Hullermeier E. Bouquet P. Dignum V. Fox M. van Harmelen F. Kaminka G.A.},
doi = {10.3233/978-1-61499-672-9-1732},
issn = {09226389},
year = {2016},
date = {2016-01-01},
journal = {Frontiers in Artificial Intelligence and Applications},
volume = {285},
pages = {1732--1733},
abstract = {The paper describes an architecture for a social conversational agent. The aim is to use the agent in a serious game to improve the social and communicative skills of the players, showing the social effects of conversational choices on the emotions and behavioural changes of the interlocutors.},
keywords = {Artificial intelligence, Chatbots, Conversational Agents, Gamification, Serious game, Social Practices},
pubstate = {published},
tppubtype = {article}
}
The paper describes an architecture for a social conversational agent. The aim is to use the agent in a serious game to improve the social and communicative skills of the players, showing the social effects of conversational choices on the emotions and behavioural changes of the interlocutors.
Augello, Agnese; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
Disaster Prevention Virtual Advisors through Soft Sensor Paradigm Journal Article
In: Smart Innovation, Systems and Technologies, vol. 55, pp. 619–627, 2016, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Conversational Agents, Decision Support Systems, Disaster Prevention, Human computer interaction, Natural Language Processing, Ontologies, Sensor systems
@article{augelloDisasterPreventionVirtual2016,
title = {Disaster Prevention Virtual Advisors through Soft Sensor Paradigm},
author = { Agnese Augello and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
editor = { Giuseppe De Pietro and Luigi Gallo and Robert J. Howlett and Lakhmi C. Jain},
doi = {10.1007/978-3-319-39345-2_55},
issn = {21903018},
year = {2016},
date = {2016-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {55},
pages = {619--627},
abstract = {In this paper we illustrate the architecture of an intelligent advisor agent aimed at limiting, or as far as possible preventing, the damages caused by catastrophic events, such as floods and landslides. The agent models the domain and makes forecasting by exploiting both ontology models and belief network models. Furthermore, it uses a monitoring network to recommend preventive measures and giving alerts, if necessary, before that the event happens. The monitoring network can be implemented through both physical and soft sensors: this choice makes the measurements more adequate and available also in case of failure of some of the physical sensors. The front-end of the agent is made by a chat-bot, capable to interact with human users using natural language. textcopyright Springer International Publishing Switzerland 2016.},
keywords = {Artificial intelligence, Conversational Agents, Decision Support Systems, Disaster Prevention, Human computer interaction, Natural Language Processing, Ontologies, Sensor systems},
pubstate = {published},
tppubtype = {article}
}
In this paper we illustrate the architecture of an intelligent advisor agent aimed at limiting, or as far as possible preventing, the damages caused by catastrophic events, such as floods and landslides. The agent models the domain and makes forecasting by exploiting both ontology models and belief network models. Furthermore, it uses a monitoring network to recommend preventive measures and giving alerts, if necessary, before that the event happens. The monitoring network can be implemented through both physical and soft sensors: this choice makes the measurements more adequate and available also in case of failure of some of the physical sensors. The front-end of the agent is made by a chat-bot, capable to interact with human users using natural language. textcopyright Springer International Publishing Switzerland 2016.
Augello, Agnese; Gentile, Manuel; Dignum, Frank
Social Practices for Social Driven Conversations in Serious Games Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9599, pp. 100–110, 2016, ISSN: 03029743.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Chatbots, Conversational Agents, Education, Serious game, Social Practices
@article{augelloSocialPracticesSocial2016,
title = {Social Practices for Social Driven Conversations in Serious Games},
author = { Agnese Augello and Manuel Gentile and Frank Dignum},
editor = { de Gloria A. Veltkamp R.},
doi = {10.1007/978-3-319-40216-1_11},
issn = {03029743},
year = {2016},
date = {2016-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {9599},
pages = {100--110},
abstract = {This paper describes the model of social practice as a theoretical framework to manage conversation with the specific goal of training physicians in communicative skills. To this aim, the domain reasoner that manages the conversation in the Communicate! [1] serious game is taken as a basis. Because the choice of a specific Social Practice to follow in a situation is non-trivial we use a probabilistic model for the selection of social practices as a step toward the implementation of an agent architecture compliant with the social practice model. textcopyright Springer International Publishing Switzerland 2016.},
keywords = {Artificial intelligence, Chatbots, Conversational Agents, Education, Serious game, Social Practices},
pubstate = {published},
tppubtype = {article}
}
This paper describes the model of social practice as a theoretical framework to manage conversation with the specific goal of training physicians in communicative skills. To this aim, the domain reasoner that manages the conversation in the Communicate! [1] serious game is taken as a basis. Because the choice of a specific Social Practice to follow in a situation is non-trivial we use a probabilistic model for the selection of social practices as a step toward the implementation of an agent architecture compliant with the social practice model. textcopyright Springer International Publishing Switzerland 2016.
Infantino, Ignazio; Augello, Agnese; Manfré, Adriano; Pilato, Giovanni; Vella, Filippo
Robodanza: Live Performances of a Creative Dancing Humanoid Proceedings Article
In: F., Cardoso F. A. Corruble V. Ghedini F. Pachet (Ed.): Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016, pp. 388–395, Sony CSL, 2016, ISBN: 978-2-7466-9155-1.
Abstract | BibTeX | Tags: Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Creative Agents, Human Robot Interaction, Social Robots
@inproceedings{infantinoRobodanzaLivePerformances2016,
title = {Robodanza: Live Performances of a Creative Dancing Humanoid},
author = { Ignazio Infantino and Agnese Augello and Adriano Manfré and Giovanni Pilato and Filippo Vella},
editor = { Cardoso F.A. Corruble V. Ghedini F. Pachet F.},
isbn = {978-2-7466-9155-1},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016},
pages = {388--395},
publisher = {Sony CSL},
abstract = {The paper describes the artistic performances obtained with a creative system based on a cognitive architecture. The performances are executed by a humanoid robot whose creative behaviour is strongly influenced both by the interaction with human dancers and by internal and external evaluation mechanisms. The complexity of such a task requires the development of robust and fast algorithms in order to effectively perceive and process musical inputs, and the generation of coherent movements in order to realize an amusing and original choreography. A basic sketch of the choreography has been conceived and set-up in cooperation with professional dancers. The sketch takes into account both robot capabilities and limitations. Three live performances are discussed in detail, reporting their impact on the audience, the environmental conditions, and the adopted solutions to satisfy safety requirements, and achieve aesthetic pleasantness. textcopyright 2016 Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016. All rights reserved.},
keywords = {Anthropomorphic Robots, Artificial intelligence, Cognitive Architectures, Creative Agents, Human Robot Interaction, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper describes the artistic performances obtained with a creative system based on a cognitive architecture. The performances are executed by a humanoid robot whose creative behaviour is strongly influenced both by the interaction with human dancers and by internal and external evaluation mechanisms. The complexity of such a task requires the development of robust and fast algorithms in order to effectively perceive and process musical inputs, and the generation of coherent movements in order to realize an amusing and original choreography. A basic sketch of the choreography has been conceived and set-up in cooperation with professional dancers. The sketch takes into account both robot capabilities and limitations. Three live performances are discussed in detail, reporting their impact on the audience, the environmental conditions, and the adopted solutions to satisfy safety requirements, and achieve aesthetic pleasantness. textcopyright 2016 Proceedings of the 7th International Conference on Computational Creativity, ICCC 2016. All rights reserved.
Manfré, Adriano; Augello, Agnese; Pilato, Giovanni; Vella, Filippo; Infantino, Ignazio
Exploiting Interactive Genetic Algorithms for Creative Humanoid Dancing Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 17, pp. 12–21, 2016, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Human Robot Interaction
@article{manfreExploitingInteractiveGenetic2016,
title = {Exploiting Interactive Genetic Algorithms for Creative Humanoid Dancing},
author = { Adriano Manfré and Agnese Augello and Giovanni Pilato and Filippo Vella and Ignazio Infantino},
doi = {10.1016/j.bica.2016.07.004},
issn = {2212683X},
year = {2016},
date = {2016-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {17},
pages = {12--21},
abstract = {The paper discusses an approach aimed at endowing a cognitive architecture with artificial creativity capabilities in order to make a humanoid able to dance in a pleasant manner. The robot associates movements to music perception creating an aesthetically valuable dance by using a Hidden Markov Model with a nonclassical approach. Two matrices mainly influence the model: a Transition matrix TM, and an Emission Matrix EM. The TM matrix rules the transition between two subsequent movements. The EM matrix constitutes the link between a set of movements and the perceived music features. In order to compute the EM matrix, we exploit a genetic algorithm approach. The approach makes use of two kinds of fitness functions. The first one is an internal evaluation fitness that allows the robot to autonomously learn the association between music and movements. The second one depends on the interaction with a human teacher, leading to the determination of different dance styles, which constitute the robot repertoire. The experimental part discusses the effects on the creativity of different distances to compute fitness. textcopyright 2016 Elsevier B.V. All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents, Human Robot Interaction},
pubstate = {published},
tppubtype = {article}
}
The paper discusses an approach aimed at endowing a cognitive architecture with artificial creativity capabilities in order to make a humanoid able to dance in a pleasant manner. The robot associates movements to music perception creating an aesthetically valuable dance by using a Hidden Markov Model with a nonclassical approach. Two matrices mainly influence the model: a Transition matrix TM, and an Emission Matrix EM. The TM matrix rules the transition between two subsequent movements. The EM matrix constitutes the link between a set of movements and the perceived music features. In order to compute the EM matrix, we exploit a genetic algorithm approach. The approach makes use of two kinds of fitness functions. The first one is an internal evaluation fitness that allows the robot to autonomously learn the association between music and movements. The second one depends on the interaction with a human teacher, leading to the determination of different dance styles, which constitute the robot repertoire. The experimental part discusses the effects on the creativity of different distances to compute fitness. textcopyright 2016 Elsevier B.V. All rights reserved.
2015
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Creativity Evaluation in a Cognitive Architecture Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 11, pp. 29–37, 2015, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Process, Creativity Evaluation, Natural Language Processing
@article{augelloCreativityEvaluationCognitive2015,
title = {Creativity Evaluation in a Cognitive Architecture},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1016/j.bica.2014.11.013},
issn = {2212683X},
year = {2015},
date = {2015-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {11},
pages = {29--37},
abstract = {Evaluation is a key factor of creativity: for this reason it should be integrated into a cognitive architecture of a creative artificial agent. The approach illustrated in this paper uses the Psi model, and describes the framework for introducing internal and external evaluations, and how they influence demands and motivation of the artificial agent. Internal evaluation mechanisms drive the creative process, and influence competence of the creative agent. External evaluation acts through certainty, and requires interaction with human users that express both opinions and some subjective quantitative evaluations on the final artwork. The system uses natural language processing techniques in order to infer the satisfaction and the emotional impact of the final product obtained by the creative agent. textcopyright 2014 Elsevier B.V. All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Process, Creativity Evaluation, Natural Language Processing},
pubstate = {published},
tppubtype = {article}
}
Evaluation is a key factor of creativity: for this reason it should be integrated into a cognitive architecture of a creative artificial agent. The approach illustrated in this paper uses the Psi model, and describes the framework for introducing internal and external evaluations, and how they influence demands and motivation of the artificial agent. Internal evaluation mechanisms drive the creative process, and influence competence of the creative agent. External evaluation acts through certainty, and requires interaction with human users that express both opinions and some subjective quantitative evaluations on the final artwork. The system uses natural language processing techniques in order to infer the satisfaction and the emotional impact of the final product obtained by the creative agent. textcopyright 2014 Elsevier B.V. All rights reserved.
Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, Giovanni
Pattern-Recognition: A Foundational Approach Proceedings Article
In: A., Lieto A. Radicioni D. P. Battaglino C. Sanguinetti M. Lieto (Ed.): CEUR Workshop Proceedings, pp. 68–82, CEUR-WS, 2015.
Abstract | BibTeX | Tags: Artificial intelligence
@inproceedings{augelloPatternrecognitionFoundationalApproach2015,
title = {Pattern-Recognition: A Foundational Approach},
author = { Agnese Augello and Salvatore Gaglio and Gianluigi Oliveri and Giovanni Pilato},
editor = { Lieto A. Radicioni D.P. Battaglino C. Sanguinetti M. Lieto A.},
year = {2015},
date = {2015-01-01},
booktitle = {CEUR Workshop Proceedings},
volume = {1510},
pages = {68--82},
publisher = {CEUR-WS},
abstract = {This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recognition into a rigorous science. In this article we address two problems which lie at the foundations of pattern-recognition theory: (i) What is a pattern? and (ii) How do we come to know patterns? In so doing much attention will be paid to tracing a non-arbitrary connection between (i) and (ii), a connection which will be ultimately based on considerations relating to Darwin's theory of evolution.},
keywords = {Artificial intelligence},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recognition into a rigorous science. In this article we address two problems which lie at the foundations of pattern-recognition theory: (i) What is a pattern? and (ii) How do we come to know patterns? In so doing much attention will be paid to tracing a non-arbitrary connection between (i) and (ii), a connection which will be ultimately based on considerations relating to Darwin's theory of evolution.
2014
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Combining Representational Domains for Computational Creativity Proceedings Article
In: S., Ventura D. Lavrac N. Cook M. Colton (Ed.): Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014, Jozef Stefan Institute, 2014, ISBN: 978-961-264-055-2.
Abstract | BibTeX | Tags: Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents
@inproceedings{augelloCombiningRepresentationalDomains2014,
title = {Combining Representational Domains for Computational Creativity},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
editor = { Ventura D. Lavrac N. Cook M. Colton S.},
isbn = {978-961-264-055-2},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014},
publisher = {Jozef Stefan Institute},
abstract = {The paper describes a combinatorial creativity module embedded in a cognitive architecture. The proposed module is based on the focus of attention model proposed by and is implemented using Self Organising Map (SOM) neural networks. Copyright textcopyright ICCC 2014.All rights reserved.},
keywords = {Artificial intelligence, Cognitive Architectures, Computational Creativity, Creative Agents},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper describes a combinatorial creativity module embedded in a cognitive architecture. The proposed module is based on the focus of attention model proposed by and is implemented using Self Organising Map (SOM) neural networks. Copyright textcopyright ICCC 2014.All rights reserved.
Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, Giovanni
Mathematical Patterns and Cognitive Architectures Proceedings Article
In: M., Lieto A. Lieto A. Radicioni D. P. Cruciani (Ed.): CEUR Workshop Proceedings, pp. 134–139, CEUR-WS, 2014.
Abstract | BibTeX | Tags: Artificial intelligence, Cognitive Architectures
@inproceedings{augelloMathematicalPatternsCognitive2014,
title = {Mathematical Patterns and Cognitive Architectures},
author = { Agnese Augello and Salvatore Gaglio and Gianluigi Oliveri and Giovanni Pilato},
editor = { Lieto A. Lieto A. Radicioni D.P. Cruciani M.},
year = {2014},
date = {2014-01-01},
booktitle = {CEUR Workshop Proceedings},
volume = {1315},
pages = {134--139},
publisher = {CEUR-WS},
abstract = {Mathematical patterns are an important subclass of the class of patterns. The main task of this paper is examining a particular proposal concerning the nature of mathematical patterns and some elements of the cognitive structure an agent should have to recognize them. textcopyright 2014, International Workshop on Artificial Intelligence and Cognition.},
keywords = {Artificial intelligence, Cognitive Architectures},
pubstate = {published},
tppubtype = {inproceedings}
}
Mathematical patterns are an important subclass of the class of patterns. The main task of this paper is examining a particular proposal concerning the nature of mathematical patterns and some elements of the cognitive structure an agent should have to recognize them. textcopyright 2014, International Workshop on Artificial Intelligence and Cognition.
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Robotic Creativity Driven by Motivation and Semantic Analysis Proceedings Article
In: Proceedings - 2014 IEEE International Conference on Semantic Computing, ICSC 2014, pp. 285–289, IEEE Computer Society, 2014, ISBN: 978-1-4799-4002-8.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Chatbots, Cognitive Architectures, Computational Creativity, Creative Agents, Motivation, Natural Language Processing, PSI, Semantic Computing, Social Robots
@inproceedings{augelloRoboticCreativityDriven2014,
title = {Robotic Creativity Driven by Motivation and Semantic Analysis},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1109/ICSC.2014.58},
isbn = {978-1-4799-4002-8},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings - 2014 IEEE International Conference on Semantic Computing, ICSC 2014},
pages = {285--289},
publisher = {IEEE Computer Society},
abstract = {The paper proposes a system architecture for artificial creativity that enables a robot to perform portraits. The proposed cognitive architecture is inspired by the PSI model, and it requires that the motivation of the robot in the execution of its tasks is influenced by urges. Such parameters depend on both internal and external evaluation mechanisms. The system is a premise for the development of an artificial artist able to develop a personality and a behavior that depends on its experience of successes and failures (competence), and the availability of different painting techniques (certainty). The creative execution is driven by the motivation arising from the urges, and the perception of the work being executed or performed. The external evaluation is obtained by analyzing the opinions expressed in natural language from people watching the realized portrait. textcopyright 2014 IEEE.},
keywords = {Artificial intelligence, Chatbots, Cognitive Architectures, Computational Creativity, Creative Agents, Motivation, Natural Language Processing, PSI, Semantic Computing, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper proposes a system architecture for artificial creativity that enables a robot to perform portraits. The proposed cognitive architecture is inspired by the PSI model, and it requires that the motivation of the robot in the execution of its tasks is influenced by urges. Such parameters depend on both internal and external evaluation mechanisms. The system is a premise for the development of an artificial artist able to develop a personality and a behavior that depends on its experience of successes and failures (competence), and the availability of different painting techniques (certainty). The creative execution is driven by the motivation arising from the urges, and the perception of the work being executed or performed. The external evaluation is obtained by analyzing the opinions expressed in natural language from people watching the realized portrait. textcopyright 2014 IEEE.
Chella, Antonio; Gaglio, Salvatore; Oliveri, Gianluigi; Augello, Agnese; Pilato, Giovanni
Creativity in Conceptual Spaces Proceedings Article
In: S., Ventura D. Lavrac N. Cook M. Colton (Ed.): Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014, Jozef Stefan Institute, 2014, ISBN: 978-961-264-055-2.
Abstract | BibTeX | Tags: Artificial intelligence, Computational Creativity, Conceptual Spaces
@inproceedings{chellaCreativityConceptualSpaces2014,
title = {Creativity in Conceptual Spaces},
author = { Antonio Chella and Salvatore Gaglio and Gianluigi Oliveri and Agnese Augello and Giovanni Pilato},
editor = { Ventura D. Lavrac N. Cook M. Colton S.},
isbn = {978-961-264-055-2},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 5th International Conference on Computational Creativity, ICCC 2014},
publisher = {Jozef Stefan Institute},
abstract = {The main aim of this paper is contributing to what in the last few years has been known as computational creativity. This will be done by showing the relevance of a particular mathematical representation of Gärdenfors's conceptual spaces to the problem of modelling a phenomenon which plays a central role in producing novel and fruitful representations of perceptual patterns: analogy. Copyright textcopyright ICCC 2014.All rights reserved.},
keywords = {Artificial intelligence, Computational Creativity, Conceptual Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
The main aim of this paper is contributing to what in the last few years has been known as computational creativity. This will be done by showing the relevance of a particular mathematical representation of Gärdenfors's conceptual spaces to the problem of modelling a phenomenon which plays a central role in producing novel and fruitful representations of perceptual patterns: analogy. Copyright textcopyright ICCC 2014.All rights reserved.
2013
Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, Giovanni
Acting on Conceptual Spaces in Cognitive Agents Proceedings Article
In: M., Lieto A. Cruciani (Ed.): CEUR Workshop Proceedings, pp. 25–32, CEUR-WS, 2013.
Abstract | BibTeX | Tags: Artificial intelligence, Cognitive Systems, Conceptual Spaces, Knowledge Representation
@inproceedings{augelloActingConceptualSpaces2013,
title = {Acting on Conceptual Spaces in Cognitive Agents},
author = { Agnese Augello and Salvatore Gaglio and Gianluigi Oliveri and Giovanni Pilato},
editor = { Lieto A. Cruciani M.},
year = {2013},
date = {2013-01-01},
booktitle = {CEUR Workshop Proceedings},
volume = {1100},
pages = {25--32},
publisher = {CEUR-WS},
abstract = {Conceptual spaces were originally introduced by Gärdenfors as a bridge between symbolic and connectionist models of information representation. In our opinion, a cognitive agent, besides being able to work within his (current) conceptual space, must also be able to 'produce a new space' by means of 'global' operations. These are operations which, acting on a conceptual space taken as a whole, generate other conceptual spaces. Copyright textcopyright 2013 for the individual papers by the papers' authors.},
keywords = {Artificial intelligence, Cognitive Systems, Conceptual Spaces, Knowledge Representation},
pubstate = {published},
tppubtype = {inproceedings}
}
Conceptual spaces were originally introduced by Gärdenfors as a bridge between symbolic and connectionist models of information representation. In our opinion, a cognitive agent, besides being able to work within his (current) conceptual space, must also be able to 'produce a new space' by means of 'global' operations. These are operations which, acting on a conceptual space taken as a whole, generate other conceptual spaces. Copyright textcopyright 2013 for the individual papers by the papers' authors.
2012
Augello, Agnese; Pilato, Giovanni; Machi, Alberto; Gaglio, Salvatore
An Approach to Enhance Chatbot Semantic Power and Maintainability: Experiences within the FRASI Project Proceedings Article
In: Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012, pp. 186–193, 2012, ISBN: 978-0-7695-4859-3.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Human computer interaction, Ontologies, Semantic Computing
@inproceedings{augelloApproachEnhanceChatbot2012,
title = {An Approach to Enhance Chatbot Semantic Power and Maintainability: Experiences within the FRASI Project},
author = { Agnese Augello and Giovanni Pilato and Alberto Machi and Salvatore Gaglio},
doi = {10.1109/ICSC.2012.26},
isbn = {978-0-7695-4859-3},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012},
pages = {186--193},
abstract = {The paper illustrates the implementation and semantic enhancement of a domain-oriented Question-Answering system based on a pattern-matching chat bot technology, developed within an industrial project, named FRASI. The main difficulty in building a KB for a chat bot is to handwrite all possible question-answer pairs that constitute the KB. The proposed approach simplifies the chat bot realization thanks to two solutions. The first one uses an ontology, which is exploited in a twofold manner: to construct dynamic answers as a result of an inference process about the domain, and to automatically populate, off-line, the chat bot KB with sentences that can be derived from the ontology, describing properties and relations between concepts involved in the dialogue. The second one is to preprocess user sentences, and to reduce them to a simpler structure that can be referred to existing elements of the chat bot KB. The enhanced symbolic reduction of user questions and the automatic population of question templates in the chat bot KB from domain ontology have been implemented as two computational services (external modules). textcopyright 2012 IEEE.},
keywords = {Artificial intelligence, Human computer interaction, Ontologies, Semantic Computing},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper illustrates the implementation and semantic enhancement of a domain-oriented Question-Answering system based on a pattern-matching chat bot technology, developed within an industrial project, named FRASI. The main difficulty in building a KB for a chat bot is to handwrite all possible question-answer pairs that constitute the KB. The proposed approach simplifies the chat bot realization thanks to two solutions. The first one uses an ontology, which is exploited in a twofold manner: to construct dynamic answers as a result of an inference process about the domain, and to automatically populate, off-line, the chat bot KB with sentences that can be derived from the ontology, describing properties and relations between concepts involved in the dialogue. The second one is to preprocess user sentences, and to reduce them to a simpler structure that can be referred to existing elements of the chat bot KB. The enhanced symbolic reduction of user questions and the automatic population of question templates in the chat bot KB from domain ontology have been implemented as two computational services (external modules). textcopyright 2012 IEEE.