Bradley van Aardt

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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(More)
– This paper studies the effect that agent learning can have on inter-agent communication in a Multi-agent system. The agents are equipped with MLP neural networks to learn solutions to problems that have been solved through explicit negotiation and communication. We implement a test problem in the form of a Pursuit game, where the Multi-Agent system is a(More)
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