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Authors: Amel Ben Othmane ; Andrea Tettamanzi ; Serena Villata and Nhan Le Thanh

Affiliation: Université Côte d'Azur, France

ISBN: 978-989-758-275-2

Keyword(s): Region Connection Calculus, Allen’s Intervals, Fuzzy Sets.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: Agent-based recommender systems have been exploited in the last years to provide informative suggestions to users, showing the advantage of exploiting components like beliefs, goals and trust in the recommendations’ computation. However, many real-world scenarios, like the traffic one, require the additional feature of representing and reasoning about spatial and temporal knowledge, considering also their vague connotation. This paper tackles this challenge and introduces CARS, a spatio-temporal agent-based recommender system based on the Belief-Desire-Intention (BDI) architecture. Our approach extends the BDI model with spatial and temporal information to represent and reason about fuzzy beliefs and desires dynamics. An experimental evaluation about spatio-temporal reasoning in the traffic domain is carried out using the NetLogo platform, showing the improvements our recommender system introduces to support agents in achieving their goals.

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Paper citation in several formats:
Ben Othmane, A.; Tettamanzi, A.; Villata, S.; Villata, S. and Le Thanh, N. (2018). CARS - A Spatio-temporal BDI Recommender System: Time, Space and Uncertainty.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2, pages 48-57. DOI: 10.5220/0006590700480057

@conference{icaart18,
author={Amel Ben Othmane. and Andrea Tettamanzi. and Serena Villata. and Serena Villata. and Nhan Le Thanh.},
title={CARS - A Spatio-temporal BDI Recommender System: Time, Space and Uncertainty},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2018},
pages={48-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006590700480057},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - CARS - A Spatio-temporal BDI Recommender System: Time, Space and Uncertainty
SN - 978-989-758-275-2
AU - Ben Othmane, A.
AU - Tettamanzi, A.
AU - Villata, S.
AU - Villata, S.
AU - Le Thanh, N.
PY - 2018
SP - 48
EP - 57
DO - 10.5220/0006590700480057

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