Abstract
To many real-life games, the algorithm of Iterated Eliminating Regret-dominated Strategies (IERS) can find solutions that are consistent with experimental observations, which have been proved to be problematic for Nash Equilibrium concept. However, there are a serious problem in characterising the IERS epistemic procedure. That is, the rationality of choosing un-dominated strategies cannot be assumed as the common knowledge among all the players of a game, otherwise the outcome of the IERS cannot be implied. Nevertheless, the common knowledge of rationality among players is an essential premise in game theory. To address these issues, this paper develops a new epistemic logic model to interpret the IERS procedure as a process of dynamic information exchanging by setting the players’ rationality as a proper announcement assertion. Finally, we show that under the assumption of rationality common knowledge rather than lower probabilities, our model can successfully solve a well-known traveler dilemma.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aumann, R.J.: Rationality and bounded rationality. Games and Economic Behavior 21, 2–14 (1997)
Aumann, R.J.: Interactive epistemology I:knowledge. International Journal of Game Theory 28(3), 263–300 (1999)
Baltag, A., Gierasimczuk, N., Smets, S.: Belief revision as a truth-tracking process. In: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge, pp. 187–190 (2011)
Baltag, A., Moss, L.S., Solecki, S.: The logic of public announcements, common knowledge, and private suspicions. In: Proceedings of the 7th Conference on Theoretical Aspects of Rationality and Knowledge, pp. 43–56 (1998)
Basu, K.: The Traveler’s Dilemma: Paradoxes of rationality in game theory. American Economic Review 84(2), 391–395 (1994)
Becker, T., Carter, M., Naeve, J.: Experts playing the traveler’s dilemma. Inst. fúr Volkswirtschaftslehre, Univ. (2005)
Blackburn, P., van Benthem, J., Wolter, F.: Handbook of Modal Logic. Elsevier Science Inc. (2007)
Bonanno, G.: A syntactic approach to rationality in games with ordinal payoffs, vol. 3. Amsterdam University Press (2008)
David, P.: Rationalizable strategic behavior and the problem of perfection. Econometrica 52(4), 1029–1050 (1984)
Ditmarsch, H., van der Hoek, W., Kooi, B.: Dynamic Epistemic Logic. Springer, Berlin (2007)
Halpern, J.Y., Pass, R.: A logical characterization of iterated admissibility. In: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge, pp. 146–155. ACM (2009)
Halpern, J.Y., Pass, R.: Iterated regret minimization: A new solution concept. Games and Economic Behavior 74(1), 184–207 (2012)
Osborne, M., Rubinstein, A.: A Course in Game Theory. The MIT Press (1994)
Pacuit, E., Roy, O.: A dynamic analysis of interactive rationality. In: Proceedings of the 3rd International Conference on Logic, Rationality and Interaction, pp. 244–257 (2011)
Renou, L., Schlag, K.H.: Implementation in minimax regret equilibrium. Games and Economic Behavior 71(2), 527–533 (2011)
van Benthem, J.: Rational dynamics and epistemic logic in games. International Game Theory Review 9(1), 13–45 (2007)
van Benthem, J.: Logical Dynamics of Information. Cambridge University Press (2011)
Wright, J., Leyton-Brown, K.: Behavioral game-theoretic models: A Bayesian framework for parameter analysis. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, pp. 921–928 (2012)
Wunder, M., Kaisers, M., Yaros, J.R., Littman, M.: Using iterated reasoning to predict opponent strategies. In: Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems, vol. 2, pp. 593–600 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cui, J., Luo, X., Sim, K.M. (2013). A New Epistemic Logic Model of Regret Games. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-39787-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39786-8
Online ISBN: 978-3-642-39787-5
eBook Packages: Computer ScienceComputer Science (R0)