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.
2019
Augello, Agnese; Infantino, Ignazio; Maniscalco, Umberto; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Robotic Intelligence and Computational Creativity Book
World Scientific Publishing Co., 2019, ISBN: 9789811203480; 9789811203473.
Abstract | BibTeX | Tags: Computational Creativity, Creative Agents, Social Robots
@book{augelloRoboticIntelligenceComputational2019,
title = {Robotic Intelligence and Computational Creativity},
author = { Agnese Augello and Ignazio Infantino and Umberto Maniscalco and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
isbn = {9789811203480; 9789811203473},
year = {2019},
date = {2019-01-01},
volume = {2},
publisher = {World Scientific Publishing Co.},
abstract = {The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. textcopyright 2019 by World Scientific Publishing Co. Pte. Ltd.},
keywords = {Computational Creativity, Creative Agents, Social Robots},
pubstate = {published},
tppubtype = {book}
}
The paper illustrates a cognitive architecture for computational creativity based on the Psi model and the mechanisms inspired by dual-process theories of reasoning and rationality. In particular, three applications of computational creativity will be summed up: (a) a robot capable of executing creative paintings through a multilayer mechanism that implements an associative memory and is capable to properly mix elements belonging to different domains; (b) a robot aimed at producing a collage formed by a mix of photo-montage and digital collage: the artwork is created after a visual and verbal interaction with a human user; and (c) a humanoid robot capable of improvising a dancing choreography in real-time according to the listened music. First results in computational creativity show a set of potentialities to be explored that can shed light on human and artificial creativities and artificial intelligent systems. textcopyright 2019 by World Scientific Publishing Co. Pte. Ltd.
Citt`a, Giuseppe; Gentile, Manuel; Augello, Agnese; Ottaviano, Simona; Allegra, Mario; Dignum, Frank
Analyzing Creativity in the Light of Social Practice Theory Journal Article
In: Frontiers in Psychology, vol. 9, no. JAN, 2019, ISSN: 16641078.
Abstract | Links | BibTeX | Tags: Computational Creativity, Habits, Social Practices, Torrance Test
@article{cittaAnalyzingCreativityLight2019,
title = {Analyzing Creativity in the Light of Social Practice Theory},
author = { Giuseppe Citt{`a} and Manuel Gentile and Agnese Augello and Simona Ottaviano and Mario Allegra and Frank Dignum},
doi = {10.3389/fpsyg.2018.02752},
issn = {16641078},
year = {2019},
date = {2019-01-01},
journal = {Frontiers in Psychology},
volume = {9},
number = {JAN},
abstract = {In this work, starting from the social practice theory, we identified two kinds of creativity: a situational creativity that takes place when, starting from a defined situation, a social practice is played; and a creativity of habit that concerns the agents' capacity for generating new practices from habit when the situation is not defined or is unexpected. To test this hypothesis, the Torrance Test of Creative Thinking (Verbal Form A) was analyzed in the light of praxeology, and the results are analyzed in a computational creativity perspective. textcopyright 2019 Citt`a, Gentile, Augello, Ottaviano, Allegra and Dignum.},
keywords = {Computational Creativity, Habits, Social Practices, Torrance Test},
pubstate = {published},
tppubtype = {article}
}
In this work, starting from the social practice theory, we identified two kinds of creativity: a situational creativity that takes place when, starting from a defined situation, a social practice is played; and a creativity of habit that concerns the agents' capacity for generating new practices from habit when the situation is not defined or is unexpected. To test this hypothesis, the Torrance Test of Creative Thinking (Verbal Form A) was analyzed in the light of praxeology, and the results are analyzed in a computational creativity perspective. textcopyright 2019 Citt`a, Gentile, Augello, Ottaviano, Allegra and Dignum.
2018
Citt`a, Giuseppe; Arnab, Sylvester; Augello, Agnese; Gentile, Manuel; Zielonka, Sebastian Idelsohn; Ifenthaler, Dirk; Infantino, Ignazio; Guardia, Dario La; Manfr`e, Adriano; Allegra, Mario
Move Your Mind: Creative Dancing Humanoids as Support to STEAM Activities Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 190–199, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Computational Creativity, Education, Embodied Cognition, Enactivism, Human computer interaction, STEAM
@article{cittaMoveYourMind2018,
title = {Move Your Mind: Creative Dancing Humanoids as Support to STEAM Activities},
author = { Giuseppe Citt{`a} and Sylvester Arnab and Agnese Augello and Manuel Gentile and Sebastian Idelsohn Zielonka and Dirk Ifenthaler and Ignazio Infantino and Dario La Guardia and Adriano Manfr{`e} and Mario Allegra},
editor = { Robert J. Howlett and Luigi Gallo and Giuseppe De Pietro and Lakhmi C. Jain},
doi = {10.1007/978-3-319-59480-4_20},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {190--199},
abstract = {Educational activities based on dance can support interest in comprehension of concepts from maths, geometry, physics, bio-mechanics and computational thinking. In this work, we discuss a possible use of a dancing humanoid robot as an innovative technology to support and enhance STEAM learning activities. textcopyright Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Computational Creativity, Education, Embodied Cognition, Enactivism, Human computer interaction, STEAM},
pubstate = {published},
tppubtype = {article}
}
Educational activities based on dance can support interest in comprehension of concepts from maths, geometry, physics, bio-mechanics and computational thinking. In this work, we discuss a possible use of a dancing humanoid robot as an innovative technology to support and enhance STEAM learning activities. textcopyright Springer International Publishing AG 2018.
Nuccio, Carlo; Augello, Agnese; Gaglio, Salvatore; Pilato, Giovanni
Interaction Capabilities of a Robotic Receptionist Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 171–180, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Computational Creativity, Human computer interaction, Human Robot Interaction, Humanoid Robots, Ontologies, Robotics
@article{nuccioInteractionCapabilitiesRobotic2018,
title = {Interaction Capabilities of a Robotic Receptionist},
author = { Carlo Nuccio and Agnese Augello and Salvatore Gaglio and Giovanni Pilato},
editor = { Giuseppe De Pietro and Luigi Gallo and Robert J. Howlett and Lakhmi C. Jain},
doi = {10.1007/978-3-319-59480-4_18},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {171--180},
abstract = {A system aimed at facilitating the interaction between a human user and an humanoid robot is presented. The system is suited to answer questions about laboratories activities, people involved, projects, research themes and collaborations among employees. The task is accomplished by the HermiT reasoner invoked by a speech recognition module. The system is capable of navigating a specific ontology making inference on it. The presented system is part of a broader social robot framework whose goal is to give the user a fulfilling social interaction experience, driven by the perception of the robot internal state and involving intuitive and computational creativity capabilities. textcopyright Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Computational Creativity, Human computer interaction, Human Robot Interaction, Humanoid Robots, Ontologies, Robotics},
pubstate = {published},
tppubtype = {article}
}
A system aimed at facilitating the interaction between a human user and an humanoid robot is presented. The system is suited to answer questions about laboratories activities, people involved, projects, research themes and collaborations among employees. The task is accomplished by the HermiT reasoner invoked by a speech recognition module. The system is capable of navigating a specific ontology making inference on it. The presented system is part of a broader social robot framework whose goal is to give the user a fulfilling social interaction experience, driven by the perception of the robot internal state and involving intuitive and computational creativity capabilities. textcopyright Springer International Publishing AG 2018.
2017
Augello, Agnese; Cipolla, Emanuele; Infantino, Ignazio; Manfr`e, Adriano; Pilato, Giovanni; Vella, Filippo
Creative Robot Dance with Variational Encoder Proceedings Article
In: A., Jordanous A. Pease A. Goel (Ed.): Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Georgia Institute of Technology, 2017, ISBN: 978-0-692-89564-1.
Abstract | BibTeX | Tags: Anthropomorphic Robots, Computational Creativity, Creative Agents, Deep learning, Robotics
@inproceedings{augelloCreativeRobotDance2017,
title = {Creative Robot Dance with Variational Encoder},
author = { Agnese Augello and Emanuele Cipolla and Ignazio Infantino and Adriano Manfr{`e} and Giovanni Pilato and Filippo Vella},
editor = { Jordanous A. Pease A. Goel A.},
isbn = {978-0-692-89564-1},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017},
publisher = {Georgia Institute of Technology},
abstract = {What we appreciate in dance is the ability of people to spontaneously improvise new movements and choreographies, surrendering to the music rhythm, being inspired by the current perceptions and sensations and by previous experiences, deeply stored in their memory. Like other human abilities, this, of course, is challenging to reproduce in an artificial entity such as a robot. Recent generations of anthropomorphic robots, the so-called humanoids, however, exhibit more and more sophisticated skills and raised the interest in robotic communities to design and experiment systems devoted to automatic dance generation. In this work, we highlight the importance to model a computational creativity behavior in dancing robots to avoid a mere execution of preprogrammed dances. In particular, we exploit a deep learning approach that allows a robot to generate in real time new dancing movements according to to the listened music. textcopyright ICCC 2017.},
keywords = {Anthropomorphic Robots, Computational Creativity, Creative Agents, Deep learning, Robotics},
pubstate = {published},
tppubtype = {inproceedings}
}
What we appreciate in dance is the ability of people to spontaneously improvise new movements and choreographies, surrendering to the music rhythm, being inspired by the current perceptions and sensations and by previous experiences, deeply stored in their memory. Like other human abilities, this, of course, is challenging to reproduce in an artificial entity such as a robot. Recent generations of anthropomorphic robots, the so-called humanoids, however, exhibit more and more sophisticated skills and raised the interest in robotic communities to design and experiment systems devoted to automatic dance generation. In this work, we highlight the importance to model a computational creativity behavior in dancing robots to avoid a mere execution of preprogrammed dances. In particular, we exploit a deep learning approach that allows a robot to generate in real time new dancing movements according to to the listened music. textcopyright ICCC 2017.
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
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.
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; 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; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Binding Representational Spaces of Colors and Emotions for Creativity Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 5, pp. 64–71, 2013, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Computational Creativity
@article{augelloBindingRepresentationalSpaces2013,
title = {Binding Representational Spaces of Colors and Emotions for Creativity},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1016/j.bica.2013.05.005},
issn = {2212683X},
year = {2013},
date = {2013-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {5},
pages = {64--71},
abstract = {To implement cognitive functions such as creativity, or the ability to create analogies and metaphors, it is important to have mechanisms binding different representational spaces. The paper discusses this issue in the broader context of having a "artist" robot, able to process his visual perception, to use his experience and skills as a painter, and to develop a creative digital artefact. In this context, two different spaces of color representation are respectively used to associate a linguistic label and an emotional value to color palettes. If the goal is to build an image that communicates a desired emotion, the robot can use a neural architecture to choose the most suitable palette. The experience concerning palette-emotion association is derived from the analysis of data enriched with textual description available on the web. The representation of colors and palettes is obtained by using neural networks and self association mechanisms with the aim of supporting the choice of the palette. textcopyright 2013 Elsevier B.V.},
keywords = {Computational Creativity},
pubstate = {published},
tppubtype = {article}
}
To implement cognitive functions such as creativity, or the ability to create analogies and metaphors, it is important to have mechanisms binding different representational spaces. The paper discusses this issue in the broader context of having a "artist" robot, able to process his visual perception, to use his experience and skills as a painter, and to develop a creative digital artefact. In this context, two different spaces of color representation are respectively used to associate a linguistic label and an emotional value to color palettes. If the goal is to build an image that communicates a desired emotion, the robot can use a neural architecture to choose the most suitable palette. The experience concerning palette-emotion association is derived from the analysis of data enriched with textual description available on the web. The representation of colors and palettes is obtained by using neural networks and self association mechanisms with the aim of supporting the choice of the palette. textcopyright 2013 Elsevier B.V.
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Introducing a Creative Process on a Cognitive Architecture Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 6, pp. 131–139, 2013, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Computational Creativity, Creative Process, Emotion Analysis, Motivation
@article{augelloIntroducingCreativeProcess2013,
title = {Introducing a Creative Process on a Cognitive Architecture},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1016/j.bica.2013.05.011},
issn = {2212683X},
year = {2013},
date = {2013-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {6},
pages = {131--139},
abstract = {In this paper we present a system that implements a creative behavior on a cognitive architecture. It is aimed at creating digital art images from snapshots of a human subject, simulating a simple creative process. Such a process starts from a Training Phase that creates a set of image filter sequences. This phase is oriented to approximate some painting styles obtained from famous images and portraits of the past. The learned filter sequences are then used during the Production Phase. During this subsequent phase, the "artificial artist" interacts with the subject trying to "catch" the human emotions that drive the creation of the portrait. The artist processes feedbacks from the user according to the cognitive model Psi and its implementation of the motivations. These motivations influence further modifications of the applied filter sequences achieving an evolution of the artificial artist. textcopyright 2013 Elsevier B.V. All rights reserved.},
keywords = {Cognitive Architectures, Computational Creativity, Creative Process, Emotion Analysis, Motivation},
pubstate = {published},
tppubtype = {article}
}
In this paper we present a system that implements a creative behavior on a cognitive architecture. It is aimed at creating digital art images from snapshots of a human subject, simulating a simple creative process. Such a process starts from a Training Phase that creates a set of image filter sequences. This phase is oriented to approximate some painting styles obtained from famous images and portraits of the past. The learned filter sequences are then used during the Production Phase. During this subsequent phase, the "artificial artist" interacts with the subject trying to "catch" the human emotions that drive the creation of the portrait. The artist processes feedbacks from the user according to the cognitive model Psi and its implementation of the motivations. These motivations influence further modifications of the applied filter sequences achieving an evolution of the artificial artist. textcopyright 2013 Elsevier B.V. All rights reserved.