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Dynamic Games under Bounded Rationality

Zhao, Guo (2015): Dynamic Games under Bounded Rationality.

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I propose a dynamic game model that is consistent with the paradigm of bounded rationality. Its main advantages over the traditional approach based on perfect rationality are that: (1) under given state the strategy space is a chain-complete partially ordered set; (2) the response function satisfies certain order-theoretic property; (3) the evolution of economic system is described by the Dynamical System defined by iterations of the response function; (4) the existence of equilibrium is guaranteed by fixed point theorems for ordered structures. If the preference happens to be represented by a utility function and the response was derived from utility maximization, then the equilibrium defined by fixed points of the response function will be the same as Nash equilibrium. This preference-response framework liberates economics from the utility concept, and constitutes a synthesis between normal-form and extensive-form games. And the essential advantages of our preference-response approach was secured by successfully resolving some long-standing paradoxes in classical theory, yielding straightforward ways out of the impossibility theorem of Arrow and Sen, the Keynesian beauty contest, the Bertrand Paradox, and the backward induction paradox. These applications have certain characteristics in common: they all involve important modifications in the concept of perfect rationality.

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