Handling Exceptions in Multi Agent Systems using Learning Agents

Mounira Bouzahzah, Ramdane Maamri

Abstract

In this paper we address the problem of exception handling in multi agent systems and we propose an approach based learning agents to provide fault tolerance in multi agent systems. In reality, agents systems are used as a perfect solution to design recent applications that are characterized by being decentralized and dispersed. These systems are subject of errors that occur during execution and that may cause system’s failure; Exceptions are the main cause of the system’s errors. Researchers in fault tolerance field use handling exceptions technique to provide error-prone systems. Through this work, we propose an approach for handling exception using learning agents; this approach assures the most efficient handler for each exception mainly in case of the existence of many handlers and allows the adaptation of decision according to the environment changes. The learning agent is given the capacity to learn about new exceptions from the extern.

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Paper Citation


in Harvard Style

Bouzahzah M. and Maamri R. (2013). Handling Exceptions in Multi Agent Systems using Learning Agents . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 423-426. DOI: 10.5220/0004263304230426


in Bibtex Style

@conference{icaart13,
author={Mounira Bouzahzah and Ramdane Maamri},
title={Handling Exceptions in Multi Agent Systems using Learning Agents},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2013},
pages={423-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004263304230426},
isbn={978-989-8565-38-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Handling Exceptions in Multi Agent Systems using Learning Agents
SN - 978-989-8565-38-9
AU - Bouzahzah M.
AU - Maamri R.
PY - 2013
SP - 423
EP - 426
DO - 10.5220/0004263304230426