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Authors: Amel Ben Othmane 1 ; Andrea Tettamanzi 2 ; Serena Villata 3 ; Nhan Le Thanh 1 and Michel Buffa 1

Affiliations: 1 Inria and I3S Laboratory, France ; 2 Univ. Nice Sophia Antipolis, I3S and UMR 7271, France ; 3 CNRS and I3S Laboratory, France

ISBN: 978-989-758-172-4

Keyword(s): Multi-Agent Systems, BDI Architecture, Multi-Context Systems, Possibility Theory, Ontology, Recommender Systems.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Collaboration and e-Services ; Distributed and Mobile Software Systems ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Ontologies ; Semantic Web ; Simulation and Modeling ; Soft Computing ; Software Engineering ; Symbolic Systems ; Uncertainty in AI

Abstract: In this paper, we propose a multi-agent recommender system based on the Belief-Desire-Intention (BDI) model applied to multi-context systems. First, we extend the BDI model with additional contexts to deal with sociality and information uncertainty. Second, we propose an ontological representation of planning and intention contexts in order to reason about plans and intentions. Moreover, we show a simple real-world scenario in healthcare in order to illustrate the overall reasoning process of our model.

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Paper citation in several formats:
Ben Othmane, A.; Tettamanzi, A.; Villata, S.; Le Thanh, N. and Buffa, M. (2016). A Multi-context Framework for Modeling an Agent-based Recommender System.In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-172-4, pages 31-41. DOI: 10.5220/0005686500310041

@conference{icaart16,
author={Amel Ben Othmane. and Andrea Tettamanzi. and Serena Villata. and Nhan Le Thanh. and Michel Buffa.},
title={A Multi-context Framework for Modeling an Agent-based Recommender System},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2016},
pages={31-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005686500310041},
isbn={978-989-758-172-4},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Multi-context Framework for Modeling an Agent-based Recommender System
SN - 978-989-758-172-4
AU - Ben Othmane, A.
AU - Tettamanzi, A.
AU - Villata, S.
AU - Le Thanh, N.
AU - Buffa, M.
PY - 2016
SP - 31
EP - 41
DO - 10.5220/0005686500310041

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