A Mediator Agent based on Multi-Context System and Information Retrieval

Rodrigo Rodrigues, Ricardo Silveira, Rafael De Santiago

2022

Abstract

Nowadays, decisions derived from intelligent systems frequently affect human lives (e.g., medicine, robotics, or finance). Traditionally, these systems can be implemented using symbolic or connectionist methods. Since both methods have crucial limitations in different aspects, integrating these methods represents a relevant step to deploying intelligent systems in real-world scenarios. We start tackling the integration of both methods by exploring how to use different types of information during the agent’s decision-making. We modeled and implemented an intelligent agent based on a Multi-Context System (MCS). MCSs allow the representation of information exchange among heterogeneous sources. We use a framework called Sigon to implement the proposed agent. Sigon is a novel framework that enables the development of MCS agents at a programming language level. As a case study, we present a mediator agent for conflict resolution during negotiation. The mediator agent creates advice by retrieving information from the web and employing different data types ( e.g., text and image) during its decision-making. This work provides a promising and flexible way of integrating different information and resources using MCS as the main result.

Paper Citation

in Harvard Style

Rodrigues R., Silveira R. and De Santiago R. (2022). A Mediator Agent based on Multi-Context System and Information Retrieval. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-547-0, pages 78-87. DOI: 10.5220/0010781400003116

in Bibtex Style

@conference{icaart22,
author={Rodrigo Rodrigues and Ricardo Silveira and Rafael De Santiago},
title={A Mediator Agent based on Multi-Context System and Information Retrieval},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2022},
pages={78-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010781400003116},
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 - A Mediator Agent based on Multi-Context System and Information Retrieval
SN - 978-989-758-547-0
AU - Rodrigues R.
AU - Silveira R.
AU - De Santiago R.
PY - 2022
SP - 78
EP - 87
DO - 10.5220/0010781400003116