Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/5568
Author(s): | Lopes, A. L. Botelho, L. |
Date: | 2013 |
Title: | Distributed Coordination of Heterogeneous Agents Using a Semantic Overlay Network and a Goal-Directed Graphplan Planner |
Volume: | 8 |
Number: | 5 |
Pages: | e62931 |
ISSN: | 1932-6203 |
DOI (Digital Object Identifier): | 10.1371/journal.pone.0062931 |
Keywords: | Distributed Coordination Automated Planning Multi-agent Systems |
Abstract: | In this paper, we describe a distributed coordination system that allows agents to seamlessly cooperate in problem solving by partially contributing to a problem solution and delegating the subproblems for which they do not have the required skills or knowledge to appropriate agents. The coordination mechanism relies on a dynamically built semantic overlay network that allows the agents to efficiently locate, even in very large unstructured networks, the necessary skills for a specific problem. Each agent performs partial contributions to the problem solution using a new distributed goal-directed version of the Graphplan algorithm. This new goal-directed version of the original Graphplan algorithm provides an efficient solution to the problem of "distraction", which most forward-chaining algorithms suffer from. We also discuss a set of heuristics to be used in the backward-search process of the planning algorithm in order to distribute this process amongst idle agents in an attempt to find a solution in less time. The evaluation results show that our approach is effective in building a scalable and efficient agent society capable of solving complex distributable problems. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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journal.pone.0062931.pdf | 842,49 kB | Adobe PDF | View/Open |
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