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; 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.
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.
2014
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.
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.
Augello, Agnese; Gaglio, Salvatore; Pilato, Giovanni; Vassallo, Giorgio
Clifford Rotors for Conceptual Representation in Chatbots Journal Article
In: Advances in Intelligent Systems and Computing, vol. 196 AISC, pp. 369–370, 2013, ISSN: 21945357.
Abstract | Links | BibTeX | Tags: Chatbots, Clifford algebra, Conceptual Spaces, Geometric algebra, Knowledge Representation, Latent Semantic Analysis, Natural Language Processing, Semantic Computing
@article{augelloCliffordRotorsConceptual2013,
title = {Clifford Rotors for Conceptual Representation in Chatbots},
author = { Agnese Augello and Salvatore Gaglio and Giovanni Pilato and Giorgio Vassallo},
doi = {10.1007/978-3-642-34274-5_64},
issn = {21945357},
year = {2013},
date = {2013-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {196 AISC},
pages = {369--370},
abstract = {In this abstract we introduce an unsupervised sub-symbolic natural language sentences encoding procedure aimed at catching and representing into a Chatbot Knowledge Base (KB) the concepts expressed by an user interacting with a robot. The chatbot KB is coded in a conceptual space induced from the application of the Latent Semantic Analysis (LSA) paradigm on a corpus of documents. LSA has the effect of decomposing the original relationships between elements into linearly-independent vectors. Each basis vector can be considered therefore as a "conceptual coordinate", which can be tagged by the words which better characterize it. This tagging is obtained by performing a (TF-IDF)-like weighting schema [3], that we call TW-ICW (term weight-inverse conceptual coordinate weight), to weigh the relevance of each term on each conceptual coordinate. textcopyright 2013 Springer-Verlag.},
keywords = {Chatbots, Clifford algebra, Conceptual Spaces, Geometric algebra, Knowledge Representation, Latent Semantic Analysis, Natural Language Processing, Semantic Computing},
pubstate = {published},
tppubtype = {article}
}
In this abstract we introduce an unsupervised sub-symbolic natural language sentences encoding procedure aimed at catching and representing into a Chatbot Knowledge Base (KB) the concepts expressed by an user interacting with a robot. The chatbot KB is coded in a conceptual space induced from the application of the Latent Semantic Analysis (LSA) paradigm on a corpus of documents. LSA has the effect of decomposing the original relationships between elements into linearly-independent vectors. Each basis vector can be considered therefore as a "conceptual coordinate", which can be tagged by the words which better characterize it. This tagging is obtained by performing a (TF-IDF)-like weighting schema [3], that we call TW-ICW (term weight-inverse conceptual coordinate weight), to weigh the relevance of each term on each conceptual coordinate. textcopyright 2013 Springer-Verlag.
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.