The eager bidder problem: a fundamental problem of DAI and selected solutions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
The Evolution of the Contract Net Protocol
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Total performance by local agent selection strategies in multi-agent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Gradient field-based task assignment in an AGV transportation system
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Augmented experiment: participatory design with multiagent simulation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Users matter: a multi-agent systems model of high performance computing cluster users
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Analysis of learning types in an artificial market
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Hi-index | 0.00 |
We describe a new adaptive manager-side control policy for the contract net protocol that uses the capabilities of all agents in a massively multi-agent system (MMAS). Recent advances in Internet services, pervasive computing, and grid computing require sophisticated MAS technologies to effectively use the large amount of invested computing resources. To improve overall performance, tasks must be allocated to appropriate agents, and from this viewpoint, a number of negotiation protocols were proposed in the MAS context. Most assume a small-scale, unbusy environment, however. We previously reported the possibility that, using contract net protocol (CNP), the overall efficiency improved by an adequate control of degree of fluctuation in the awarding phase, when the MMAS is in specific states. In this paper, we propose the method to estimate these specific states from the bid values, which have hitherto not been used effectively. Then the new manager-side policy flexibly and autonomously introduces some degree of fluctuation responsive to the estimated states. We also demonstrate that our proposed CNP policy provides considerably better performance than naive CNP and CNP with inflexible policies, even though our policy does not use global information.