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A Combinatorial Auction Negotiation Protocol for Time-Restricted Group Decisions

机译:有时间限制的群体决策的组合拍卖协商协议

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摘要

This paper focuses on multi-agent contract formation by automated negotiation. Commonly individuals are not willing to share information or cooperate and negotiation protocols may give way to unwanted strategic behavior. Socially beneficial contract agreements require a lot of negotiation time. Furthermore, possible interdependencies of contract items lead to complex contract spaces which restrain contract agreements. Therefore, we propose a novel negotiation protocol applying combinatorial auctions for contract formation which consider interdependencies and yield a rapid decision rights allocation. Additionally, this market-based approach utilizes Vickrey-Clarkes-Groves-mechanisms which may lead to truthful preference uncovering and information sharing through bids. However, combinatorial auctions have a computational drawback: winner determination is AfV-hard. In simulation experiments, two approximation algorithms as well as an optimal computation are tested in comparison with an established negotiation protocol. The results show that our protocol yields an effective solution and requires very short run time.
机译:本文着重于通过自动协商形成多主体合同。通常,个人不愿意共享信息或不合作,而协商协议可能会让位于不必要的战略行为。具有社会效益的合同协议需要大量的谈判时间。此外,合同项目之间可能的相互依赖性会导致复杂的合同空间,从而限制了合同协议。因此,我们提出了一种新颖的协商协议,该协议应用组合拍卖来形成合同,该协议考虑了相互依赖性并产生了快速的决策权分配。此外,这种基于市场的方法利用了Vickrey-Clarkes-Groves机制,这可能导致真实的偏好发现和通过投标共享信息。但是,组合拍卖有一个计算上的缺点:获胜者的确定是AfV难点。在模拟实验中,与建立的协商协议相比,测试了两种近似算法以及最佳计算。结果表明,我们的协议可提供有效的解决方案,并且需要非常短的运行时间。

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