Co-evolution of preferences and information in simple games of trust
AbstractIn standard rational choice modelling decisions are made according to given information and preferences. In the model presented here the 'information technology' of individual decision makers as well as their preferences evolve in a dynamic process. In this process decisions are made rationally by players who differ in their informational as well as in their preference type. Relative success of alternative decisions feeds back on the type composition of the population which in turn influences rational decision making. An indirect evolutionary analysis of an elementary yet important basic game of trust shows that under certain parameter constellations the population dynamics of the evolutionary process specify a unique completely mixed rest point. However, as opposed to previous studies of preference formation in the game of trust there is no convergence to but only cycling around the rest point if the informational status of individuals evolves rather than being chosen strategically. --
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Bibliographic InfoPaper provided by Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes in its series SFB 373 Discussion Papers with number 1998,72.
Date of creation: 1998
Date of revision:
Evolutionary game models; Endogenous preference formation; Trust relationships;
Other versions of this item:
- Werner Güth & Hartmut Kliemt & Bezalel Peleg, 2000. "Co-evolution of Preferences and Information in Simple Games of Trust," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 83-110, 02.
- A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
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