Bluffing as a Rational Strategy in a Simple Poker-Like Game Model. (21st May 2013)

• Record Type: Journal Article
• Authors: Guazzini, Andrea; Vilone, Daniele
• Other Names: Yang Fuwen Academic Editor.
• Is Part Of: Journal of complex systems. Volume 2013(2013)
• Publication Date: 2013-05-21
• Subjects: System analysis -- Periodicals; Computational complexity -- Periodicals; Coupled problems (Complex systems) -- Periodicals; Systems engineering -- Periodicals; Computational complexity; Coupled problems (Complex systems); System analysis; Systems engineering; Electronic journals; Periodicals; 003
• DOI: 10.1155/2013/390454
• Languages: English
• ISSNs: 2356-7244

Abstract

Abstract : We present a simple adaptive learning model of a poker-like game, by means of which we show how a bluffing strategy emerges very naturally and can also be rational and evolutionarily stable. Despite their very simple learning algorithms, agents learn to bluff, and the most bluffing player is usually the winner.