MULTI-AGENT VOTING FOR CONFLICT RESOLUTION - A Fuzzy Approach

Miklos Nagy, Maria Vargas-Vera

2010

Abstract

Software agents that interpret the possible meaning of SemanticWeb data differently should be able to resolve their differences i.e. resolve conflicts effectively. One typical use case is ontology mapping where different agents using different similarity measures create beliefs in the assessed similarities, which needs to be combined into a more coherent state. The combination of these contradicting beliefs can easily worsen the mapping precision and recall, which leads to poor performance of any ontology mapping algorithm. In these scenarios agents, which use different similarities and combine them into a more reliable and coherent view can easily become unreliable when these contradictions are not managed effectively between the different agents. In this paper we propose a solution based on the fuzzy voting model for managing such situations by introducing trust and voting between software agents that resolve contradicting beliefs in the assessed similarities.

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Paper Citation


in Harvard Style

Nagy M. and Vargas-Vera M. (2010). MULTI-AGENT VOTING FOR CONFLICT RESOLUTION - A Fuzzy Approach . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 178-183. DOI: 10.5220/0002701301780183

in Bibtex Style

@conference{icaart10,
author={Miklos Nagy and Maria Vargas-Vera},
title={MULTI-AGENT VOTING FOR CONFLICT RESOLUTION - A Fuzzy Approach},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002701301780183},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - MULTI-AGENT VOTING FOR CONFLICT RESOLUTION - A Fuzzy Approach
SN - 978-989-674-021-4
AU - Nagy M.
AU - Vargas-Vera M.
PY - 2010
SP - 178
EP - 183
DO - 10.5220/0002701301780183