Organization, Learning and Cooperation
AbstractWe model the organization of the firm as a type of artificial neural network in a duopoly framework. The firm plays a repeated Prisoner's Dilemma type game, but also must learn to map environmental signals to demand parameters. We study the prospects for cooperation given the need for the firm to learn the environment and its rival's output. We show how a firm's profit and cooperation rates are affected by its size, its rival's size and willingness to cooperate and environmental complexity.
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Bibliographic InfoPaper provided by Sciences Po in its series Sciences Po publications with number 2004-001.
Date of creation: Mar 2004
Date of revision:
Artificial Neural Networks; Prisoner's Dilemma; Cooperation; Firm learning;
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
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