Efficient Computation of Equilibria for Extensive Two-Person Games
نویسندگان
چکیده
منابع مشابه
Efficient Computation of Equilibria for Extensive Two-Person Games
The Nash equilibria of a two-person, non-zero-sum game are the solutions of a certain linear complementarity problem (LCP). In order to use this for solving a game in extensive form, the game must first be converted to a strategic description such as the normal form. The classical normal form, however, is often exponentially large in the size of the game tree. If the game has perfect recall, a ...
متن کاملcient Computation of Equilibria for Extensive Two Person Games
The Nash equilibria of a two person non zero sum game are the solutions of a certain linear complementarity problem LCP In order to use this for solving a game in extensive form it is rst necessary to convert the game to a strategic description such as the normal form The classical normal form however is often exponentially large in the size of the game tree In this paper we suggest an alternat...
متن کاملComputing Normal Form Perfect Equilibria for Extensive Two-person Games
This paper presents an algorithm for computing an equilibrium of an extensive two-person game with perfect recall. The method is computationally efficient by virtue of using the sequence form, whose size is proportional to the size of the game tree. The equilibrium is traced on a piecewise linear path in the sequence form strategy space from an arbitrary starting vector. If the starting vector ...
متن کاملComputing Equilibria for Two-Person Games
This paper is a self-contained survey of algorithms for computing Nash equilibria of two-person games given in normal form or extensive form. The classical Lemke{Howson algorithm for nding one equilibrium of a bimatrix game is presented graph-theoretically as well as algebraically in terms of complementary pivoting. Common deenitions of degenerate games are shown as equivalent. Enumeration of a...
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ژورنال
عنوان ژورنال: Games and Economic Behavior
سال: 1996
ISSN: 0899-8256
DOI: 10.1006/game.1996.0051