Abstract
We describe how the Adversarial Risk Analysis framework may be used to support the decision making of an autonomous agent which needs to interact with other agents and persons. We propose several contextualizations of the problem and suggest which is the conceptual solution in some of the proposed scenarios.
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Rázuri, J.G., Esteban, P.G., Insua, D.R.: An adversarial risk analysis model for an autonomous imperfect decision agent. In: Guy, T.V., Kárný, M., Wolpert, D.H. (eds.) Decision Making and Imperfection. SCI, vol. 474, pp. 165–190. Springer, Heidelberg (2013)
Ríos Insua, D., Ríos, J., Banks, D.: Adversarial risk analysis. Journal of the American Statistical Association 104(486), 841–854 (2009)
Clemen, R.T., Reilly, T.: Making Hard Decisions with Decision Tools. Duxbury, Pacific Grove (2004)
Stahl, D.O., Wilson, P.W.: On players models of other players: Theory and experimental evidence. Games and Economic Behavior 10(1), 218–254 (1995)
Banks, D., Petralia, F., Wang, S.: Adversarial risk analysis: Borel games. Applied Stochastic Models in Business and Industry 27, 72–86 (2011)
Kadane, J.B.: Adversarial risk analysis: What’s new, what isn’t?: Discussion of adversarial risk analysis: Borel games. Journal Applied Stochastic Models in Business and Industry 27(2), 87–88 (2011)
Kadane, J.B., Larkey, P.D.: Subjective probability and the theory of games. Management Science 28(2), 113–120 (1982)
Raiffa, H.: Negotiation Analysis: The Science and Art of Collaborative Decision Making. Press of Harvard University Press, Cambridge (2007)
AISoyRobotics (2010), http://www.aisoy.es
Aliprantis, C., Chakrabarti, S.: Games and Decision Making. Oxford University Press (2010)
Lippman, S., McCardle, K.: Embedded nash bargaining: Risk aversion and impatience. Decision Analysis 9, 31–41 (2012)
Hoeting, J., Madigan, D., Raftery, A., Volinsky, C.: Bayesian model averaging: A tutorial. Statistical Science 4, 382–417 (1999)
Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Comput. Surv. 35(4), 399–458 (2003)
Hewitt, R.: Seeing With OpenCV, Part 4: Face Recognition With Eigenface (2007)
Ríos Insua, D., Ruggeri, F., Wiper, M.: Bayesian Analysis of Stochastic Process Models. Wiley (2012)
Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V.: Algorithmic Game Theory. Cambridge University Press (2007)
Menache, I., Ozdaglar, A.: Network Games: Theory, Models, and Dynamics. Morgan and Claypool Publishers (2011)
Busemeyer, J.R., Dimperio, E., Jessup, R.K.: Integrating emotional processes into decision-making models, pp. 213–229. Oxford University Press, New York (2006)
Loewenstein, G., Lerner, J.S.: The role of affect in decision making. In: Davidson, R., Scherer, K., Goldsmith, H. (eds.) Handbook of Affective Science, pp. 619–642. Oxford University Press, Oxford (2003)
Glimcher, P.W., Camerer, C., Poldrack, R.A., Fehr, E.: Neuroeconomics: Decision Making and the Brain. Academic Press (2008)
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
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Esteban, P.G., Insua, D.R. (2013). Designing Autonomous Social Agents under the Adversarial Risk Analysis Framework. In: Corchado, J.M., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Communications in Computer and Information Science, vol 365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38061-7_28
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DOI: https://doi.org/10.1007/978-3-642-38061-7_28
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