CARS - A Spatio-temporal BDI Recommender System: Time, Space and Uncertainty

Amel Ben Othmane, Andrea Tettamanzi, Serena Villata, Nhan Le Thanh

2018

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.

Paper Citation

in Harvard Style

Ben Othmane A., Tettamanzi A., 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

in Bibtex Style

@conference{icaart18,
author={Amel Ben Othmane and Andrea Tettamanzi 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},
}

in EndNote Style

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 - Le Thanh N.
PY - 2018
SP - 48
EP - 57
DO - 10.5220/0006590700480057