An evolutionary approach to generate solutions for conflict scenarios

Authors:
Davide Carneiro;Cesar Analide;Paulo Novais;José Neves
Affiliations:
Departamento de Informática, Universidade do Minho, Braga, Portugal;Departamento de Informática, Universidade do Minho, Braga, Portugal;Departamento de Informática, Universidade do Minho, Braga, Portugal;Departamento de Informática, Universidade do Minho, Braga, Portugal
Venue:
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Year:
2012

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Abstract

Conflict resolution is nowadays an important topic.Online Dispute Resolution in particular is nowadays a major research topic, focusing onthe development of technology-based tools to assist parties involved in conflict resolution processes. In this paper we present such a tool aimed at the generation of solutions. It is based on Genetic Algorithms that evolve a population of solutions through successive iterations, generating more specialized ones. The result is a tree of solutions that the conflict resolution platform can use to guide the conflict resolution process. This approach is especially suited for parties which have no ability or are unwilling to generate realistic proposals for the resolution of the conflict.