Branch and Bound for Negotiations in Large Agreement Spaces
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چکیده
We introduce a new multiagent negotiation algorithm for large and complex domains, called NB3. It applies Branch & Bound to search for good offers to propose. To analyze its performance we present a new problem called the Negotiating Salesmen Problem. We have conducted some experiments with NB3 from which we conclude that it manages to decrease the traveling cost of the agents significantly, that it outperforms random search and that it scales well with the complexity of the problem. Source URL: https://www.iiia.csic.es/en/node/54531 Links [1] https://www.iiia.csic.es/en/staff/dave-de-jonge [2] https://www.iiia.csic.es/en/staff/carles-sierra [3] https://www.iiia.csic.es/en/bibliography?f[author]=736 [4] https://www.iiia.csic.es/en/bibliography?f[author]=737 [5] https://www.iiia.csic.es/en/bibliography?f[keyword]=582 [6] https://www.iiia.csic.es/en/bibliography?f[keyword]=526 [7] https://www.iiia.csic.es/en/bibliography?f[keyword]=481 [8] https://www.iiia.csic.es/en/bibliography?f[keyword]=525
منابع مشابه
Branch and Bound for negotiations in large agreement spaces
We introduce a new multiagent negotiation algorithm for large and complex domains, called NB. It applies Branch & Bound to search for good offers to propose. To analyze its performance we present a new problem called the Negotiating Salesmen Problem. We have conducted some experiments with NB from which we conclude that it manages to decrease the traveling cost of the agents significantly, that...
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متن کاملNB3: a Multilateral Negotiation Algorithm for Large, Non-linear Agreement Spaces with Limited Time
Existing work on automated negotiations has mainly focused on bilateral negotiations with linear utility functions. It is often assumed that all possible agreements and their utility values are given beforehand. Most real-world negotiations however are much more complex. We introduce a new family of negotiation algorithms that is applicable to domains with many agents, an intractably large spac...
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تاریخ انتشار 2017