Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
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Artificial Intelligence
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Predicting partner's behaviour in agent negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
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AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
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AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
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Market-driven agents with uncertain and dynamic outside options
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Bilateral negotiation decisions with uncertain dynamic outside options
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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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
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Decision Support Systems
Adaptive Adjustment of Starting Price for Agents in Continuous Double Auctions
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Optimization of multiple related negotiation through multi-negotiation network
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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A parallel, multi-issue negotiation model in dynamic e-markets
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Decision Support Systems
From problems to protocols: Towards a negotiation handbook
Decision Support Systems
A single issue negotiation model for agents bargaining in dynamic electronic markets
Decision Support Systems
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One of the crucial issues of automated negotiation in multi-agent systems is how to reach an agreement when a negotiation environment becomes open and dynamic. Even though some strategies have been proposed by researchers, most of them can only work within a static negotiation environment. In this paper, we present a model for designing a strategy for agents that makes adjustable rates of concession by negotiating according to the changes of environments with uncertain and dynamic outside options. This proposal is based on the market-driven agents (MDAs) model, and is guided by four factors in order to determine the degree of concession. These factors are trading opportunity, trading competition, trading time and strategy, and eagerness. The contribution of this paper is extending the MDAs model to an open and dynamic negotiation environment by considering both the current and potential changes of the environment.