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.
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.
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 | Links | BibTeX | Tags: Artificial intelligence, Dual Process Theory, Explainability, Human Robot Interaction
@inproceedings{augello_towards_2018,
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.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047906954&partnerID=40&md5=9902c763f57c431005349181b3518769},
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. © 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. © 2018 CEUR-WS. All rights reserved.
2016
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; 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{augello_artwork_2016,
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},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957842969&doi=10.1016%2fj.bica.2015.09.007&partnerID=40&md5=115fa77940506f8d0fccd5e085673285},
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. © 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. © 2015 Elsevier B.V. All rights reserved.