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Computability of simple games: A complete investigation of the sixty-four possibilities

Kumabe, Masahiro and Mihara, H. Reiju (2006): Computability of simple games: A complete investigation of the sixty-four possibilities. Unpublished.

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Abstract

Classify simple games into sixteen "types" in terms of the four conventional axioms: monotonicity, properness, strongness, and nonweakness. Further classify them into sixty-four classes in terms of finiteness (existence of a finite carrier) and computability. For each such class, we either show that it is empty or give an example of a game belonging to it. We observe that if a type contains an infinite game, then it contains both computable infinitegames and noncomputable ones. This strongly suggests that computability is logically, as well as conceptually, unrelated to the conventional axioms.

Item Type:MPRA Paper
Language:English
Keywords:Voting games; infinitely many players; axiomatic method; complete independence; algorithms; Turing computability; recursion theory
Subjects:D - Microeconomics > D9 - Intertemporal Choice and Growth > D90 - General
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods and Programming > C69 - Other
D - Microeconomics > D7 - Analysis of Collective Decision-Making > D71 - Social Choice; Clubs; Committees; Associations
C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C71 - Cooperative Games
ID Code:440
Deposited By:H. Reiju Mihara
Deposited On:13. Oct 2006
Last Modified:25. Jul 2011 16:25
References:

[1] N. I. Al-Na jjar, L. Anderlini, and L. Felli. Undescribable events. Review of Economic Studies, 73:849–868, 2006. [2] L. Anderlini and L. Felli. Incomplete written contracts: Undescribable states of nature. Quarterly Journal of Economics, 109:1085–1124, 1994. [3] K. J. Arrow. Social Choice and Individual Values. Yale University Press, New Haven, 2nd edition, 1963. [4] J. S. Banks, J. Duggan, and M. L. Breton. Social choice and electoral competition in the general spatial model. Journal of Economic Theory, 126:194–234, 2006. [5] J. Bartholdi III, C. A. Tovey, and M. A. Trick. Voting schemes for which it can be difficult to tell who won the election. Social Choice and Welfare, 6:157–165, 1989. [6] J. J. Bartholdi III, C. A. Tovey, and M. A. Trick. The computational difficulty of manipulating an election. Social Choice and Welfare, 6:227– 241, 1989. [7] X. Deng and C. H. Papadimitriou. On the complexity of cooperative solution concepts. Mathematics of Operations Research, 19:257–266, 1994. [8] A. Downs. An Economic Theory of Democracy. Addison-Wesley, Boston, 1957. [9] Q. Fang, S. Zhu, M. Cai, and X. Deng. On computational complexity of membership test in flow games and linear production games. Inter- national Journal of Game Theory, 31:39–45, 2002.

[10] J. S. Kelly. Social choice and computational complexity. Journal of Mathematical Economics, 17:1–8, 1988. [11] M. Kumabe and H. R. Mihara. Computability of simple games: A characterization and application to the core. MPRA Paper, July 2006. http://mpra.ub.uni-muenchen.de/437/ [12] A. A. Lewis. An infinite version of Arrow’s Theorem in the effective setting. Mathematical Social Sciences, 16:41–48, 1988. [13] K. O. May. A set of independent, necessary and sufficient conditions for simple ma jority decision. Econometrica, 20:680–84, 1952. [14] K. O. May. A note on the complete independence of the conditions for simple ma jority decision. Econometrica, 21:172–173, 1953. [15] H. R. Mihara. Arrow’s Theorem and Turing computability. Economic Theory, 10(2):257–76, Aug. 1997. [16] H. R. Mihara. Arrow’s theorem, countably many agents, and more visi- ble invisible dictators. Journal of Mathematical Economics, 32(3):267– 287, 1999. [17] H. R. Mihara. Nonanonymity and sensitivity of computable simple games. Mathematical Social Sciences, 48(3):329–341, 2004. [18] P. Odifreddi. Classical Recursion Theory: The Theory of Functions and Sets of Natural Numbers. Elsevier, Amsterdam, 1992. [19] B. Peleg. Game-theoretic analysis of voting in committees. In K. J. Arrow, A. K. Sen, and K. Suzumura, editors, Handbook of Social Choice and Welfare, volume 1, chapter 8, pages 395–423. Elsevier, Amsterdam, 2002. [20] M. K. Richter and K.-C. Wong. Computable preference and utility. Journal of Mathematical Economics, 32:339–354, 1999. [21] R. I. Soare. Recursively Enumerable Sets and Degrees: A Study of Com- putable Functions and Computably Generated Sets. Springer-Verlag, Berlin, 1987. [22] W. Thomson. On the axiomatic method and its recent applications to game theory and resource allocation. Social Choice and Welfare, 18:327–386, 2001. [23] R. J. Weber. Games in coalitional form. In R. J. Aumann and S. Hart, editors, Handbook of Game Theory, volume 2, chapter 36, pages 1285– 1303. Elsevier, Amsterdam, 1994.

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