This paper designs a decentralized resource multi-agent system based on a novel reverse auction protocol. In the implementation of this multi-agent system, first the multi-attribute bids offered by the provider agents are calculated based on the users preference value function. Furthermore, an on-line reverse auction mechanism is provided to describe the on-line situation. I.e., the different grid resource provider agents arrive at different times and this mechanism is required to make an immediate decision about each bid as it is received. Numerous simulating experiments show that the proposed reverse auction method is effective in resource utilization and has better performance in user utility.
Evaluation of Emergent Structures in a ”Cognitive” Multi-Agent System based on On-line Building and Learning of a Cognitive Map