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Perception of Masculinity and Femininity of Agent’s Appearance and Self-adaptors Read chapter Read first chapter

2017 | OriginalPaper | Chapter

An Agent-Based Architecture for Personalized Recommendations

Authors : Amel Ben Othmane, Andrea Tettamanzi, Serena Villata, Nhan LE Thanh, Michel Buffa

Published in: Agents and Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

This paper proposes a design framework for a personalized multi-agent recommender system. More precisely, the proposed framework is a multi-context based recommender system that takes into account user preferences to generate a plan satisfying those preferences. Agents in this framework have a Belief-Desire-Intention (BDI) component based on the well-known BDI architecture. These BDI agents are empowered with cognitive capabilities in order to interact with others agents. They are also able to adapt to the environment changes and to the information coming from other agents. The architecture includes also a planning module based on ontologies in order to represent and reason about plans and intentions. The applicability of the proposed model is shown through a simulation in the NetLogo environment.

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Footnotes
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Metadata
Title
An Agent-Based Architecture for Personalized Recommendations
Authors
Amel Ben Othmane
Andrea Tettamanzi
Serena Villata
Nhan LE Thanh
Michel Buffa
Copyright Year
2017
Book
Agents and Artificial Intelligence

Print ISBN: 978-3-319-53353-7

Electronic ISBN: 978-3-319-53354-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-53354-4_6

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