Abstract
In game theory imperfect and incomplete information have been intensively addressed. In extensive form games a player faces imperfect information when it cannot identify the decision node it is presently located at. The player is only aware of an information set consisting of more than one node. A player faces incomplete information when it is not aware of, e.g., preferences or payoffs of its opponents. Rough set theory is a prime method addressing missing and contradicting information in decision tables where a set of variables induces a decision. In particular, rough set theory provides a means by which records with identical variable values lead to different, contradicting decisions. To indicate such situations, these records are assigned to the boundaries of all possible decisions. Obviously, both situations, games with imperfect or incomplete information and rough decision tables are similar with respect to their characteristics and challenges regarding a lack of information. Hence, a discussion of their relationship could be mutually beneficial. Therefore, the objective of our paper is to provide a rough set perspective on extensive form games with imperfect and incomplete information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Angner, E.: A Course in Behavioral Economics. Palgrave Macmillan, New York (2012)
Bonanno, G.: Game Theory. University of California, Davis (2015). http://faculty.econ.ucdavis.edu/faculty/bonanno. Accessed 15 June 2016
EconPort: Imperfect information. Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University (2006). http://www.econport.org/content/handbook/Imperfect-Information.html. Accessed 15 June 2016
Hardesty, L.: Gaming the system. In: MIT News Magazine. MIT, July/August 2013
Harsanyi, J.C.: Games with incomplete information played by “Bayesian” players, I-III. Manage. Sci. 14, 159–183 (Part I), 320–334 (Part II), 486–502 (Part III) (1967/1968)
Herbert, J.P., Yao, J.T.: Game-theoretic risk analysis in decision-theoretic rough sets. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 132–139. Springer, Heidelberg (2008)
Herbert, J.P., Yao, J.T.: Game-theoretic rough sets. Fundamenta Informaticae 108(3–4), 267–286 (2011)
Kreps, D.M.: Game Theory and Economic Modelling. Oxford University Press, Oxford, New York (1990)
Xu, J., Yao, L.: A class of two-person zero-sum matrix games with rough payoffs. Intl. J. Math. Math. Sci. 2010, 1–22 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Peters, G. (2016). A Rough Perspective on Information in Extensive Form Games. In: Flores, V., et al. Rough Sets. IJCRS 2016. Lecture Notes in Computer Science(), vol 9920. Springer, Cham. https://doi.org/10.1007/978-3-319-47160-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-47160-0_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47159-4
Online ISBN: 978-3-319-47160-0
eBook Packages: Computer ScienceComputer Science (R0)