loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.139.59

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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; ISSN 2184-433X, SciTePress, 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},
issn={2184-433X},
}

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
IS - 2184-433X
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
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic