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 use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2010
Augello, Agnese; Pilato, Giovanni; Gaglio, Salvatore
An Intelligent Advisor to Suggest Strategies in Economic Policy Decisions Proceedings Article
In: CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems, pp. 734–739, 2010, ISBN: 978-0-7695-3967-6.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Conversational Agents, Decision Networks, Decision Support Systems, Knowledge Representation, Ontologies
@inproceedings{augelloIntelligentAdvisorSuggest2010,
title = {An Intelligent Advisor to Suggest Strategies in Economic Policy Decisions},
author = { Agnese Augello and Giovanni Pilato and Salvatore Gaglio},
doi = {10.1109/CISIS.2010.75},
isbn = {978-0-7695-3967-6},
year = {2010},
date = {2010-01-01},
booktitle = {CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems},
pages = {734--739},
abstract = {In this paper we illustrate the architecture of an agent that plays the role of an "intelligent advisor". The advisor is aimed at suggesting the best managing strategies for a model of a virtual town. A Decision Support System (DSS) embedded on a conversational agent constitutes the intelligent advisor architecture. Two interacting knowledge representation areas characterize the DSS. The first one deals with the description of the domain and the deterministic events through the use of ontologies. The second one deals with the management of situations characterized by uncertainty. The intelligent advisor tries to prospect the future evolutions of particular choices taken by the user, and as a consequence, suggests the player-user the best strategy given the current status of the game. textcopyright 2010 IEEE.},
keywords = {Artificial intelligence, Conversational Agents, Decision Networks, Decision Support Systems, Knowledge Representation, Ontologies},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we illustrate the architecture of an agent that plays the role of an "intelligent advisor". The advisor is aimed at suggesting the best managing strategies for a model of a virtual town. A Decision Support System (DSS) embedded on a conversational agent constitutes the intelligent advisor architecture. Two interacting knowledge representation areas characterize the DSS. The first one deals with the description of the domain and the deterministic events through the use of ontologies. The second one deals with the management of situations characterized by uncertainty. The intelligent advisor tries to prospect the future evolutions of particular choices taken by the user, and as a consequence, suggests the player-user the best strategy given the current status of the game. textcopyright 2010 IEEE.
2009
Augello, Agnese; Pilato, Giovanni; Gaglio, Salvatore
A Conversational Agent to Support Decisions in SimCity like Games Proceedings Article
In: ICSC 2009 - 2009 IEEE International Conference on Semantic Computing, pp. 367–372, 2009, ISBN: 978-0-7695-3800-6.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Conversational Agents, Decision Support Systems, Human computer interaction, Semantic Computing
@inproceedings{augelloConversationalAgentSupport2009,
title = {A Conversational Agent to Support Decisions in SimCity like Games},
author = { Agnese Augello and Giovanni Pilato and Salvatore Gaglio},
doi = {10.1109/ICSC.2009.74},
isbn = {978-0-7695-3800-6},
year = {2009},
date = {2009-01-01},
booktitle = {ICSC 2009 - 2009 IEEE International Conference on Semantic Computing},
pages = {367--372},
abstract = {Computational intelligent techniques applied to economics have played an important role in the last years. In this paper we propose a framework based on an intelligent conversational agent embedded with a decision support system, aimed at suggesting the best managing strategies for a game-based model of a virtual town. The agent tries to prospect the future evolutions of particular choices taken by the user. Interaction is conducted through a natural language interface built as an Alice-based conversational agent. textcopyright 2009 IEEE.},
keywords = {Artificial intelligence, Conversational Agents, Decision Support Systems, Human computer interaction, Semantic Computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Computational intelligent techniques applied to economics have played an important role in the last years. In this paper we propose a framework based on an intelligent conversational agent embedded with a decision support system, aimed at suggesting the best managing strategies for a game-based model of a virtual town. The agent tries to prospect the future evolutions of particular choices taken by the user. Interaction is conducted through a natural language interface built as an Alice-based conversational agent. textcopyright 2009 IEEE.
2008
Gaglio, Salvatore; Pilato, Giovanni; Pirrone, Roberto; Gambino, Orazio; Augello, Agnese; Caronia, Alessandro
A Java3D Talking Head for a Chatbot Proceedings Article
In: Proceedings - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems, pp. 709–714, 2008, ISBN: 0-7695-3109-1 978-0-7695-3109-0.
Abstract | Links | BibTeX | Tags: 3D Modelling, Animation, Artificial intelligence, Human computer interaction, Talking Heads
@inproceedings{gaglioJava3DTalkingHead2008,
title = {A Java3D Talking Head for a Chatbot},
author = { Salvatore Gaglio and Giovanni Pilato and Roberto Pirrone and Orazio Gambino and Agnese Augello and Alessandro Caronia},
doi = {10.1109/CISIS.2008.57},
isbn = {0-7695-3109-1 978-0-7695-3109-0},
year = {2008},
date = {2008-01-01},
booktitle = {Proceedings - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems},
pages = {709--714},
abstract = {Facial animation is referred to all those systems performing the speech synchronization with an animated face model. This kind of systems are called "Talking Head" or "Talking Face". In this paper a Talking Head oriented to the creation of a Chatbot is presented. It requires an input query and an answer is generated in form of text. The answer is transduced into a facial animation using a 3D face model whose lips movements are synchronized with the sound produced by a speech synthesis module. Our "Talking Head" explores the naturalness of the facial animation and provides a real-time interactive interface to the user. The WEB infrastructure has been realized using the Client-Server model delegating the Chatbot, the Natural Language Processing and the Digital Signal Processing services to the server, while the client is involved in animation, synchronization; in this way, the server can handle multiple requests from clients. textcopyright 2008 IEEE.},
keywords = {3D Modelling, Animation, Artificial intelligence, Human computer interaction, Talking Heads},
pubstate = {published},
tppubtype = {inproceedings}
}
Facial animation is referred to all those systems performing the speech synchronization with an animated face model. This kind of systems are called "Talking Head" or "Talking Face". In this paper a Talking Head oriented to the creation of a Chatbot is presented. It requires an input query and an answer is generated in form of text. The answer is transduced into a facial animation using a 3D face model whose lips movements are synchronized with the sound produced by a speech synthesis module. Our "Talking Head" explores the naturalness of the facial animation and provides a real-time interactive interface to the user. The WEB infrastructure has been realized using the Client-Server model delegating the Chatbot, the Natural Language Processing and the Digital Signal Processing services to the server, while the client is involved in animation, synchronization; in this way, the server can handle multiple requests from clients. textcopyright 2008 IEEE.
Gambino, Orazio; Augello, Agnese; Caronia, Alessandro; Pilato, Giovanni; Pirrone, Roberto; Gaglio, Salvatore
Virtual Conversation with a Real Talking Head Proceedings Article
In: 2008 Conference on Human System Interaction, HSI 2008, pp. 263–268, 2008, ISBN: 1-4244-1543-8 978-1-4244-1543-4.
Abstract | Links | BibTeX | Tags: 3D Modelling, Animation, Artificial intelligence, Computational Linguistics, Conversational Agents, Human computer interaction, Natural Language Processing, Talking Heads
@inproceedings{gambinoVirtualConversationReal2008,
title = {Virtual Conversation with a Real Talking Head},
author = { Orazio Gambino and Agnese Augello and Alessandro Caronia and Giovanni Pilato and Roberto Pirrone and Salvatore Gaglio},
doi = {10.1109/HSI.2008.4581446},
isbn = {1-4244-1543-8 978-1-4244-1543-4},
year = {2008},
date = {2008-01-01},
booktitle = {2008 Conference on Human System Interaction, HSI 2008},
pages = {263--268},
abstract = {A talking head is system performing an animated face model synchronized with a speech synthesis module. It is used as a presentation layer of a conversational Agent which provide an answer . It provides an answer when a query is written as an input by the user. The textual answer is converted into facial movements of a 3D face model whose lips and tongue movements are synchronized with the sound of the synthetic voice. The Client-Server paradigm has been used for the WEB infrastructure delegating the animation and synchronization to the client, so that the server can satisfy multiple requests from clients; while the Chatbot, the Digital Signal Processing and the Natural language Processing are provided by the server. textcopyright 2008 IEEE.},
keywords = {3D Modelling, Animation, Artificial intelligence, Computational Linguistics, Conversational Agents, Human computer interaction, Natural Language Processing, Talking Heads},
pubstate = {published},
tppubtype = {inproceedings}
}
A talking head is system performing an animated face model synchronized with a speech synthesis module. It is used as a presentation layer of a conversational Agent which provide an answer . It provides an answer when a query is written as an input by the user. The textual answer is converted into facial movements of a 3D face model whose lips and tongue movements are synchronized with the sound of the synthetic voice. The Client-Server paradigm has been used for the WEB infrastructure delegating the animation and synchronization to the client, so that the server can satisfy multiple requests from clients; while the Chatbot, the Digital Signal Processing and the Natural language Processing are provided by the server. textcopyright 2008 IEEE.
2007
Pilato, Giovanni; Augello, Agnese; Vassallo, Giorgio; Gaglio, Salvatore
Sub-Symbolic Semantic Layer in Cyc for Intuitive Chat-Bots Proceedings Article
In: ICSC 2007 International Conference on Semantic Computing, pp. 121–128, 2007, ISBN: 0-7695-2997-6 978-0-7695-2997-4.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Chatbots, Common Sense Reasoning, Conversational Agents, Cyc Ontology, Knowledge Representation, Latent Semantic Analysis, Ontologies, Semantic Computing, Semantic Spaces
@inproceedings{pilatoSubsymbolicSemanticLayer2007,
title = {Sub-Symbolic Semantic Layer in Cyc for Intuitive Chat-Bots},
author = { Giovanni Pilato and Agnese Augello and Giorgio Vassallo and Salvatore Gaglio},
doi = {10.1109/ICSC.2007.37},
isbn = {0-7695-2997-6 978-0-7695-2997-4},
year = {2007},
date = {2007-01-01},
booktitle = {ICSC 2007 International Conference on Semantic Computing},
pages = {121--128},
abstract = {The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained through a data-driven semantic space. Concepts are mapped in this space and their mutual geometric distance is related to their conceptual similarity. The geometric distance between concepts implicitly defines a sub-symbolic relationship net, which can be seen as a new "subsymbolic semantic layer" automatically added to the Cyc ontology. Users queries can also be mapped in the same conceptual space, and evoke similar ontology concepts. As a result the agent can exploit this feature, attempting to retrieve ontological concepts that are not easily reachable by means of the traditional ontology reasoning engine. textcopyright 2007 IEEE.},
keywords = {Artificial intelligence, Chatbots, Common Sense Reasoning, Conversational Agents, Cyc Ontology, Knowledge Representation, Latent Semantic Analysis, Ontologies, Semantic Computing, Semantic Spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained through a data-driven semantic space. Concepts are mapped in this space and their mutual geometric distance is related to their conceptual similarity. The geometric distance between concepts implicitly defines a sub-symbolic relationship net, which can be seen as a new "subsymbolic semantic layer" automatically added to the Cyc ontology. Users queries can also be mapped in the same conceptual space, and evoke similar ontology concepts. As a result the agent can exploit this feature, attempting to retrieve ontological concepts that are not easily reachable by means of the traditional ontology reasoning engine. textcopyright 2007 IEEE.
2005
Agostaro, Francesco; Augello, Agnese; Pilato, Giovanni; Vassallo, Giorgio; Gaglio, Salvatore
A Conversational Agent Based on a Conceptual Interpretation of a Data Driven Semantic Space Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3673 LNAI, pp. 381–392, 2005, ISSN: 03029743.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Chatbots, Conversational Agents, Semantic Spaces
@article{agostaroConversationalAgentBased2005,
title = {A Conversational Agent Based on a Conceptual Interpretation of a Data Driven Semantic Space},
author = { Francesco Agostaro and Agnese Augello and Giovanni Pilato and Giorgio Vassallo and Salvatore Gaglio},
doi = {10.1007/11558590_39},
issn = {03029743},
year = {2005},
date = {2005-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {3673 LNAI},
pages = {381--392},
abstract = {In this work we propose an interpretation of the LSA framework which leads to a data-driven "conceptual" space creation suitable for an "intuitive" conversational agent. The proposed approach allows overcoming the limitations of traditional, rule-based, chat-bots, leading to a more natural dialogue. textcopyright Springer-Verlag Berlin Heidelberg 2005.},
keywords = {Artificial intelligence, Chatbots, Conversational Agents, Semantic Spaces},
pubstate = {published},
tppubtype = {article}
}
In this work we propose an interpretation of the LSA framework which leads to a data-driven "conceptual" space creation suitable for an "intuitive" conversational agent. The proposed approach allows overcoming the limitations of traditional, rule-based, chat-bots, leading to a more natural dialogue. textcopyright Springer-Verlag Berlin Heidelberg 2005.