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.
2022
Augello, Agnese
Unveiling the Reasoning Processes of Robots through Introspective Dialogues in a Storytelling System: A Study on the Elicited Empathy Journal Article
In: Cognitive Systems Research, vol. 73, pp. 12–20, 2022, ISSN: 13890417.
Abstract | Links | BibTeX | Tags: ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots
@article{augelloUnveilingReasoningProcesses2022,
title = {Unveiling the Reasoning Processes of Robots through Introspective Dialogues in a Storytelling System: A Study on the Elicited Empathy},
author = { Agnese Augello},
doi = {10.1016/j.cogsys.2021.11.006},
issn = {13890417},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Systems Research},
volume = {73},
pages = {12--20},
abstract = {The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters' personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. textcopyright 2022 Elsevier B.V.},
keywords = {ACT-R, Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Empathy, Gestural user interfaces, Introspective Dialogs, Personality, Reasoning, Social Agents, Social Practices, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
The work studies the empathy elicited by a storytelling system in which the characters in the story are interpreted by humanoid robots and modelled as cognitive agents. The ACT-R architecture is exploited to shape the characters' personalities and equip them with knowledge and behaviours typical of social practices. The narration is enriched with gestures and emotional expressions obtained by setting parameters that can be correlated to some emotions, such as the pitch and speech rate, the LEDs colour and the head inclination. The system has been evaluated by comparing a simple narrative modality with an enhanced one, where an introspective dialogue is adopted to explain and let transparent the internal reasoning processes of the characters. The obtained results show that storytelling affected the cognitive component of empathy, especially through the advanced narrative mode. textcopyright 2022 Elsevier B.V.
2020
Bono, Adriana; Augello, Agnese; Gentile, Manuel; Gaglio, Salvatore
Social Practices Based Characters in a Robotic Storytelling System Proceedings Article
In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 90–95, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72816-075-7.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices
@inproceedings{bonoSocialPracticesBased2020,
title = {Social Practices Based Characters in a Robotic Storytelling System},
author = { Adriana Bono and Agnese Augello and Manuel Gentile and Salvatore Gaglio},
doi = {10.1109/RO-MAN47096.2020.9223501},
isbn = {978-1-72816-075-7},
year = {2020},
date = {2020-01-01},
booktitle = {29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020},
pages = {90--95},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.},
keywords = {ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.
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.
2018
Augello, Agnese; Citt`a, Giuseppe; Gentile, Manuel; Infantino, Ignazio; Guardia, Dario La; Manfré, Adriano; Maniscalco, Umberto; Ottaviano, Simona; Pilato, Giovanni; Vella, Filippo; Allegra, Mario
Improving Spatial Reasoning by Interacting with a Humanoid Robot Journal Article
In: Smart Innovation, Systems and Technologies, vol. 76, pp. 151–160, 2018, ISSN: 21903018.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Embodied Cognition, Learning Environments, Mental Rotation, Robotics, Spatial Reasoning, STEM
@article{augelloImprovingSpatialReasoning2018,
title = {Improving Spatial Reasoning by Interacting with a Humanoid Robot},
author = { Agnese Augello and Giuseppe Citt{`a} and Manuel Gentile and Ignazio Infantino and Dario La Guardia and Adriano Manfré and Umberto Maniscalco and Simona Ottaviano and Giovanni Pilato and Filippo Vella and Mario Allegra},
editor = { Giuseppe De Pietro and Luigi Gallo and Robert J. Howlett and Lakhmi C. Jain},
doi = {10.1007/978-3-319-59480-4_16},
issn = {21903018},
year = {2018},
date = {2018-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {76},
pages = {151--160},
abstract = {This paper analyzes the connection between spatial reasoning and STEM education from the point of view of embodied theories of cognition. A new learning model based on the use of a humanoid robot is presented with the aim of teaching and learning basic STEM concepts in a fruitful and engaging fashion. textcopyright Springer International Publishing AG 2018.},
keywords = {Anthropomorphic Robots, Cognitive Architectures, Cognitive Systems, Embodied Cognition, Learning Environments, Mental Rotation, Robotics, Spatial Reasoning, STEM},
pubstate = {published},
tppubtype = {article}
}
This paper analyzes the connection between spatial reasoning and STEM education from the point of view of embodied theories of cognition. A new learning model based on the use of a humanoid robot is presented with the aim of teaching and learning basic STEM concepts in a fruitful and engaging fashion. textcopyright Springer International Publishing AG 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.
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; 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
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.
Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, G.
An Algebra for the Manipulation of Conceptual Spaces in Cognitive Agents Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 6, pp. 23–29, 2013, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Systems, Conceptual Spaces
@article{augelloAlgebraManipulationConceptual2013,
title = {An Algebra for the Manipulation of Conceptual Spaces in Cognitive Agents},
author = { Agnese Augello and Salvatore Gaglio and Gianluigi Oliveri and G. Pilato},
doi = {10.1016/j.bica.2013.07.004},
issn = {2212683X},
year = {2013},
date = {2013-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {6},
pages = {23--29},
abstract = {According to Gärdenfors, the theory of conceptual spaces describes a level of representation present in some cognitive agents between a sub-conceptual and a symbolic level of representation. In contrast to a large part of contemporary philosophical speculation on these matters for which concepts and conceptual content are propositional, conceptual spaces provide a geometric framework for the representation of concepts. In this paper we introduce an algebra for the manipulation of different conceptual spaces in order to formalise the process whereby an artificial agent rearranges its internal conceptual representations as a consequence of its perceptions, which are here rendered in terms of measurement processes. textcopyright 2013 Elsevier B.V. All rights reserved.},
keywords = {Cognitive Systems, Conceptual Spaces},
pubstate = {published},
tppubtype = {article}
}
According to Gärdenfors, the theory of conceptual spaces describes a level of representation present in some cognitive agents between a sub-conceptual and a symbolic level of representation. In contrast to a large part of contemporary philosophical speculation on these matters for which concepts and conceptual content are propositional, conceptual spaces provide a geometric framework for the representation of concepts. In this paper we introduce an algebra for the manipulation of different conceptual spaces in order to formalise the process whereby an artificial agent rearranges its internal conceptual representations as a consequence of its perceptions, which are here rendered in terms of measurement processes. textcopyright 2013 Elsevier B.V. All rights reserved.
2007
Pilato, Giovanni; Augello, Agnese; Scriminaci, Mario; Vassallo, Giorgio; Gaglio, Salvatore
Sub-Symbolic Mapping of Cyc Microtheories in Data-Driven "Conceptual" Spaces Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4692 LNAI, no. PART 1, pp. 156–163, 2007, ISSN: 03029743.
Abstract | Links | BibTeX | Tags: Cognitive Systems, Conceptual Spaces, Ontologies
@article{pilatoSubsymbolicMappingCyc2007,
title = {Sub-Symbolic Mapping of Cyc Microtheories in Data-Driven "Conceptual" Spaces},
author = { Giovanni Pilato and Agnese Augello and Mario Scriminaci and Giorgio Vassallo and Salvatore Gaglio},
doi = {10.1007/978-3-540-74819-9_20},
issn = {03029743},
year = {2007},
date = {2007-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {4692 LNAI},
number = {PART 1},
pages = {156--163},
abstract = {The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of subsymbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wants to insert in the microtheory. Experimental results involving two Cyc microtheories are also reported. textcopyright Springer-Verlag Berlin Heidelberg 2007.},
keywords = {Cognitive Systems, Conceptual Spaces, Ontologies},
pubstate = {published},
tppubtype = {article}
}
The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of subsymbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wants to insert in the microtheory. Experimental results involving two Cyc microtheories are also reported. textcopyright Springer-Verlag Berlin Heidelberg 2007.