MULTI-AGENT APPROACH TO THE UNINFORMED SEARCH TASK SOLUTION

Bessmertny Igor Alexandrovich, Kirill Bulygin

2011 , VOLUME 11, NUMBER 4 ( JULY-AUGUST )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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MULTI-AGENT APPROACH TO THE UNINFORMED SEARCH TASK SOLUTION

I. A. Bessmertny, K. Bulygin

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Abstract

The paper proposes an approach to search on decision tree, based on using a set of traffickers (agents), having swarm intelligence. The experience of each agent’s trip is to be stored and the best solutions build the route database, available for all agents. In contrary to the traditional search methods this approach gives satisfactory solutions pretty quickly. The proposed method could be useful if the traffickers are able to get and share the reached experience from/to the common online database.

Keywords: search task, agents, swarm intelligence.

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