Agent33: An Automated Negotiator with Heuristic Method for Searching Bids Around Nash Bargaining Solution-Reference-Cited by-同舟云学术

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Agent33: An Automated Negotiator with Heuristic Method for Searching Bids Around Nash Bargaining Solution

Published:2018 Issue: Volume: Page:519-526
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Liu Shan,Moustafa Ahmed,Ito Takayuki

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-03098-8_37

Reference10 articles.

1. ANAC 2018. http://web.tuat.ac.jp/~katfuji/ANAC2018/

2. Slides of repeated multilateral negotiation league results. In: ANAC 2018. http://web.tuat.ac.jp/~katfuji/ANAC2018/Results_Genius.pdf

3. Du, K.-L., Swamy, M.N.S.: Simulated annealing. Search and Optimization by Metaheuristics, pp. 29–36. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-41192-7_2

4. Toyama, T., Ito, T.: Concession based on maximum utilities estimated by a divided uniform distribution. In: The Seventh International Automated Negotiating Agents Competition (ANAC 2016) (2016)

5. Studies in Computational Intelligence;M Niimi,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Meta-Strategy Based on Multi-Armed Bandit Approach for Multi-Time Negotiation;IEICE Transactions on Information and Systems;2020-12-01

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