Survey on Strategic Games and Decision Making
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Survey on Strategic Games and Decision Making

Authors: S. Madhavi, K. Baala Srinivas, G. Bharath, R. K. Indhuja, M. Kowser Chandini

Abstract:

Game theory is the study of how people interact and make decisions to handle competitive situations. It has mainly been developed to study decision making in complex situations. Humans routinely alter their behaviour in response to changes in their social and physical environment. As a consequence, the outcomes of decisions that depend on the behaviour of multiple decision makers are difficult to predict and require highly adaptive decision-making strategies. In addition to the decision makers may have preferences regarding consequences to other individuals and choose their actions to improve or reduce the well-being of others. Nash equilibrium is a fundamental concept in the theory of games and the most widely used method of predicting the outcome of a strategic interaction in the social sciences. A Nash Equilibrium exists when there is no unilateral profitable deviation from any of the players involved. On the other hand, no player in the game would take a different action as long as every other player remains the same.

Keywords: Game Theory, Nash Equilibrium, Rules of Dominance.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1099998

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2313

References:


[1] Yoram Bachrach, Vasilis Syrgkanis, and Milan Vojnovic (2012) “Designing Incentives in Online Collaborative Environments” Microsoft Research Microsoft Corporation One Microsoft Way Redmond, WA 98052.
[2] Y.J. Li, Peter H. F. Ng, H. B. Wang, Y. Li and Simon C. K. Shiu (2010), “Applying Fuzzy Integral for Performance Evaluation in Real Time Strategy Game,” Proceedings of 2010 2nd International Conference on Information and Multimedia Technology, Hong Kong, pp. 168-172.
[3] Glycopantis, D., Muir, A.: Nash Equilibria with Knightian Uncertainty; the Case of Capacities. Econ Theory 37, 147-159 (2008).
[4] D. Yeung., X. Wang and E. Tsang (2004), “Handling interaction in fuzzy production rule reasoning,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, pp. 1979-1987.
[5] Ehud Lehrer (2004) “Updating Non-Additive Probabilities A Geometric Approach” Journal of Economic Literature Classification: D81, D83, D840.
[6] Feryal Erhun, Pınar Keskinocak (2003) “Game Theory in Business Applications” Stanford University, Stanford, CA 94305-4026.
[7] Ratul Mahajan Maya Rodrig David Wetherall John Zahorjan (2005) “Experiences Applying Game Theory to System Design” University of Washington.
[8] Jung-Hsien Chiang “Choquet Fuzzy Integral-Based Hierarchical Networks for Decision Analysis ” IEEE Transactions on Fuzzy systems, Vol. 7, No. 1, February 1999.
[9] Cyril Mazaud, Jan Rendek, Vincent Bombardier and Laurent Wendling “A feature selection method based on Choquet Integral and Typicality Analysis”.
[10] Huy Quan Vu, Gang Li and Gleb Beliakov “A Fuzzy Decision Support Method for Customer Preferences Analysis based on Choquet integral” WCCI 2012 IEEE World Congress on Computational Intelligence June, 10-15, 2012.
[11] Muhammad Ayub “Choquet and Sugeno Integrals” February 2009 Alain Chateauneuf, Rose-Anne Dana, Jean-Marc Tallon” Optimal risk-sharing rules and equilibria with Choquet-expected-utility” Journal of Mathematical Economics 34 _2000. 191–214.