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Simultaneously modeling humans' preferences and their beliefs about others' preferences

Published: 12 May 2008 Publication History

Abstract

In strategic multiagent decision making, it is often the case that a strategic reasoner must hold beliefs about other agents and use these beliefs to inform its decision making. The behavior thus produced by the reasoner involves an interaction between the reasoner's beliefs about other agents and the reasoner's own preferences. A significant challenge faced by model designers, therefore, is how to model such a reasoner's behavior so that the reasoner's preferences and beliefs can each be identified and distinguished from each other. In this paper, we introduce a model of strategic reasoning that allows us to distinguish between the reasoner's utility function and the reasoner's beliefs about another agent's utility function as well as the reasoner's beliefs about how that agent might interact with yet other agents. We show that our model is uniquely identifiable. That is, no two different parameter settings will cause the model to give the same behavior over all possible inputs. We then illustrate the performance of our model in a multiagent negotiation game played by human subjects. We find that our subjects have slightly incorrect beliefs about other agents in the game.

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        cover image ACM Conferences
        AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
        May 2008
        565 pages
        ISBN:9780981738109

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        International Foundation for Autonomous Agents and Multiagent Systems

        Richland, SC

        Publication History

        Published: 12 May 2008

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        Author Tags

        1. human models
        2. negotiation
        3. reasoning
        4. uncertainty

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        Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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        • (2018)Taking account of the actions of others in value-based reasoningArtificial Intelligence10.1016/j.artint.2017.09.002254:C(1-20)Online publication date: 1-Jan-2018
        • (2017)Humancomputer negotiation in a three player market settingArtificial Intelligence10.1016/j.artint.2017.01.003246:C(34-52)Online publication date: 1-May-2017
        • (2016)Value based reasoning and the actions of othersProceedings of the Twenty-second European Conference on Artificial Intelligence10.3233/978-1-61499-672-9-680(680-688)Online publication date: 29-Aug-2016
        • (2013)An agent design for repeated negotiation and information revelation with peopleProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485195(1303-1304)Online publication date: 6-May-2013
        • (2013)Improving resource allocation strategies against human adversaries in security gamesArtificial Intelligence10.1016/j.artint.2012.11.004195(440-469)Online publication date: 1-Feb-2013
        • (2011)An Adaptive Agent for Negotiating with People in Different CulturesACM Transactions on Intelligent Systems and Technology10.1145/2036264.20362723:1(1-24)Online publication date: 1-Oct-2011
        • (2010)Agent decision-making in open mixed networksArtificial Intelligence10.1016/j.artint.2010.09.002174:18(1460-1480)Online publication date: 1-Dec-2010
        • (2009)Altruism and agentsProceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 210.5555/1558109.1558163(1073-1080)Online publication date: 10-May-2009
        • (2008)Colored trailsProceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers10.5555/1402744.1402753(1661-1662)Online publication date: 12-May-2008

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