Learning in multiagent systems
Multiagent systems
Choosing social laws for multi-agent systems: minimality and simplicity
Artificial Intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Negotiation and task sharing among autonomous agents in cooperative domains
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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In this paper, a coordination technique is described for fully cooperative learning based multiagent systems, based on the Collective Intelligence work by Wolpert et al. Our work focuses on a practical implementation of these approaches within a FIPA compliant agent system, using the FIPA-OS agent development toolkit. The functionality of this system is illustrated with a simple buyer/seller agent application, where it is shown that the buyer agents are capable of self-organising behaviour in order to maximise their contribution to the global utility of the system.