From market-driven agents to market-oriented grids (position paper)
ACM SIGecom Exchanges
Equilibrium analyses of market-driven agents
ACM SIGecom Exchanges
Agent-Based Control Framework for Distributed Energy Resources Microgrids
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Relaxed-criteria G-negotiation for Grid resource co-allocation
ACM SIGecom Exchanges
Decision making of negotiation agents using markov chains
Multiagent and Grid Systems - Negotiation and Scheduling Mechanisms for Multiagent Systems
The segment approach time axis algorithm for proxy bidding application in online auction
MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering
Adaptive conceding strategies for automated trading agents in dynamic, open markets
Decision Support Systems
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
Agent based e-commerce systems that react to buyers' feedbacks -- A fuzzy approach
International Journal of Approximate Reasoning
The design and implementation of an intelligent agent-based adaptive bargaining model (ABM)
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
A conceptual framework for automated negotiation systems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A new fuzzy negotiation protocol for grid resource allocation
Journal of Network and Computer Applications
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While there are several existing agent-based systems addressing the crucial and difficult issues of automated negotiation and auction, this research has designed and engineered a society of trading agents with two distinguishing features: 1) a market-driven negotiation strategy and 2) a deal optimizing auction protocol. Unlike some of the existing systems where users manually select predefined trading strategies, in the market-driven approach, trading agents automatically select the appropriate strategies by examining the changing market situations. Results from a series of experiments suggest that the market-driven approach generally achieved more favorable outcomes as compared to the fixed strategy approach. Furthermore, it provides a more intuitive simulation of trading because trading agents are able to respond to different market situations with appropriate strategies. By augmenting the auction protocol with a deal optimization stage, trading agents can be programmed to optimize transaction deals by delaying the finalization of deals in search of better deals. Experimental results showed that by having a deal optimization stage, the auction protocol produced generally optimistic outcomes