A differentiable homotopy method to compute perfect equilibria

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

13 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)77-109
Number of pages33
Journal / PublicationMathematical Programming
Volume185
Issue number1-2
Online published14 Aug 2019
Publication statusPublished - Jan 2021

Abstract

The notion of perfect equilibrium was formulated by Selten (Int J Game Theory 4(1):25–55, 1975) as a strict refinement of Nash equilibrium. For an extensive-form game with perfect recall, every perfect equilibrium of its agent normal-form game yields a perfect equilibrium of the extensive-form game. This paper aims to develop a differentiable homotopy method for computing perfect equilibria of normal-form games. To accomplish this objective, we constitute an artificial game by introducing a continuously differentiable function of an extra variable. The artificial game defines a differentiable homotopy mapping and establishes the existence of a smooth path to a perfect equilibrium. For numerical comparison, we also describe a simplicial homotopy method. Numerical results show that the differentiable homotopy method is numerically stable and efficient and significantly outperforms the simplicial homotopy method especially when the problem is large.

Research Area(s)

  • Differentiable homotopy method, Nash equilibrium, Noncooperative game, Perfect equilibrium, Simplicial homotopy method

Citation Format(s)

A differentiable homotopy method to compute perfect equilibria. / Chen, Yin; Dang, Chuangyin.
In: Mathematical Programming, Vol. 185, No. 1-2, 01.2021, p. 77-109.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review