2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07) 2007
DOI: 10.1109/iat.2007.48
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A Multi-Phase Protocol for Negotiation with Interdependent Issues

Abstract: Abstract-Multi-issue negotiations are a central component of many important coordination challenges. Almost all previous work in this area has assumed that negotiation issues are independent, making it relatively easy to find high-quality agreements. In many real-world problem domains, however, issues are interdependent, making hard to find good agreement due to the nonlinearity of the agent's utility functions. The key challenge, in this context, is finding high-quality agreements without making unrealistic d… Show more

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Cited by 16 publications
(3 citation statements)
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“…The protocols proposed for multilateral negotiations in the multiagent community mostly use a mediator [2,5,[9][10][11]13]. In contrast, this paper proposes protocols for non-mediated multilateral negotiations.…”
Section: Discussionmentioning
confidence: 99%
“…The protocols proposed for multilateral negotiations in the multiagent community mostly use a mediator [2,5,[9][10][11]13]. In contrast, this paper proposes protocols for non-mediated multilateral negotiations.…”
Section: Discussionmentioning
confidence: 99%
“…However, in their work they also assume that the bids are submitted to the mediator, which again is an issue since such a protocol assumes revelation of private information. Similarly as in other works (Hattori et al, 2007), (Fujita et al, 2010a) (Fujita et al, 2010b) there is an issue with assuming a central authority to which the information about utilities is revealed. Such solutions require the presence of a third trusted party that is unbiased, independent and capable of carrying out intensive computation.…”
Section: Introductionmentioning
confidence: 99%
“…This is not so in our case where energy storage makes all time periods interdependent. The second track (e.g., Hattori et al 2007 andIto et al 2007) focuses on settings in which a mediator collects information about the agents' utility functions. This centre then finds the set of Pareto-optimal solutions, from which the agents choose one.…”
Section: Introductionmentioning
confidence: 99%