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.