Jason Agents for Knowledge-aware Information Retrieval Filters

Dima El Zein, Célia Pereira

2022

Abstract

This paper proposes a novel use of Belief-Desire-Intention agents in Information Retrieval. We present a cognitive agent that builds its beliefs about the user’s knowledge during his/her interaction with the search system. The agent reasons about those beliefs and derives new ones using contextual rules. Those beliefs serve to personalise the search results accordingly. The framework is developed using an extended version of the Jason agent programming language; the choice of Jason’s extension to model the agents is justified by some of its advantageous features, in particular, the possibility to represent gradual beliefs. A running example will illustrate the presented work and highlight its added value.

Paper Citation

in Harvard Style

El Zein D. and Pereira C. (2022). Jason Agents for Knowledge-aware Information Retrieval Filters. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-547-0, pages 466-476. DOI: 10.5220/0010884900003116

in Bibtex Style

@conference{icaart22,
author={Dima El Zein and Célia Pereira},
title={Jason Agents for Knowledge-aware Information Retrieval Filters},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2022},
pages={466-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010884900003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Jason Agents for Knowledge-aware Information Retrieval Filters
SN - 978-989-758-547-0
AU - El Zein D.
AU - Pereira C.
PY - 2022
SP - 466
EP - 476
DO - 10.5220/0010884900003116