A study in a hybrid centralised-swarm agent community

Bradley Van Aardt, Tshilidzi Marwala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper describes a systems architecture for a hybrid Centralised/Swarm based multi-agent system. The issue of local goal assignment for agents is investigated through the use of a global agent which teaches the agents responses to given situations. We implement a test problem in the form of a Pursuit game, where the Multi-Agent system is a set of captor agents. The agents learn solutions to certain board positions from the global agent if they are unable to find a solution themselves. The captor agents learn through the use of MLP neural networks. The global agent is able to solve board positions through the use of a Genetic Algorithm. The cooperation between agents and the results of the Simulation are discussed here.

Original languageEnglish
Title of host publicationICCC 2005 - IEEE 3rd International Conference on Computational Cybernetics - Proceedings
Pages169-174
Number of pages6
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventICCC 2005 - IEEE 3rd International Conference on Computational Cybernetics - Mauritius, Mauritius
Duration: 13 Apr 200516 Apr 2005

Publication series

NameICCC 2005 - IEEE 3rd International Conference on Computational Cybernetics - Proceedings
Volume2005

Conference

ConferenceICCC 2005 - IEEE 3rd International Conference on Computational Cybernetics
Country/TerritoryMauritius
CityMauritius
Period13/04/0516/04/05

ASJC Scopus subject areas

  • General Engineering

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