Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Designing Flexible Negotiation Agent with Relaxed Decision Rules
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Agents that react to changing market situations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Toward market-driven agents for electronic auction
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
From market-driven agents to market-oriented grids (position paper)
ACM SIGecom Exchanges
Relaxed-criteria G-negotiation for Grid resource co-allocation
ACM SIGecom Exchanges
Evolving best-response strategies for market-driven agents using aggregative fitness GA
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Grid resource negotiation: survey and new directions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Market_based grid resource allocation using new negotiation model
Journal of Network and Computer Applications
| Hi-index | 0.00 |
Market-driven agents (MDAs) are negotiation agents that make adjustable amounts of concession by considering factors such as competition, deadlines, and trading options. While previous work demonstrates the properties of MDAs by experiments, this paper provides mathematical analyses to show that (1) for a given market situation, an MDA makes minimally sufficient concession, and (2) the strategies adopted by MDAs are in equilibrium. The results show that MDAs are stable (stability is an essential evaluation criterion for negotiation agents) and they avoid making excessive or inadequate concession in a market situation.