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Strategyproof peer selection using randomization, partitioning, and apportionment.

, , , , и . Artif. Intell., (2019)

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Jeffrey S Lantis

Fabian Rosenschein

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Jeffrey Gaynor

Jeffrey Donahue

 

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Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication., , , и . CoRR, (2021)Negotiation in State-Oriented Domains with Incomplete Information over Goals., , и . ECAI, стр. 8-12. IOS Press, (2004)Verifying plans for multiple agents., и . J. Exp. Theor. Artif. Intell., 5 (1): 39-56 (1993)A computational characterization of multiagent games with fallacious rewards., и . AAMAS, стр. 190. IFAAMAS, (2007)Average-case tractability of manipulation in voting via the fraction of manipulators., и . AAMAS, стр. 105. IFAAMAS, (2007)On the robustness of preference aggregation in noisy environments., , и . AAMAS, стр. 66. IFAAMAS, (2007)The Gift Exchange Game: Managing Opponent Actions., , и . AAMAS, стр. 1913-1915. International Foundation for Autonomous Agents and Multiagent Systems, (2019)A Domain Theory for Task Oriented Negotiation., и . IJCAI, стр. 416-422. Morgan Kaufmann, (1993)Using Focal Point Learning to Improve Tactic Coordination in Human-Machine Interactions., , и . IJCAI, стр. 1563-1569. (2007)Negotiation with Incomplete Information About Worth: Strict Versus Tolerant Mechanisms., и . MAAMAW, том 830 из Lecture Notes in Computer Science, стр. 115-132. Springer, (1992)