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Using co-evolutionary programming to simulate strategic behaviour in markets

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Author Info
Tony Curzon Price () (Energy Policy Group, Imperial College, 48 Princes Gardens, London SW7 2PE, UK)
Abstract

This paper describes the use of a genetic algorithm (GA) to model several standard industrial organisation games: Bertrand and Cournot competition, a vertical chain of monopolies, and a simple model of an electricity pool. The intention is to demonstrate that the GA performs well as a modelling tool in these standard settings, and that evolutionary programming therefore has a potential role in applied work requiring detailed market simulation. The advantages of using a GA over scenario analysis for applied market simulation are outlined. Also explored are the way in which the equilibria discovered by the GA can be interpreted, and what the market analogue for the GA process might be.

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Publisher Info
Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 7 (1997)
Issue (Month): 3 ()
Pages: 219-254
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Handle: RePEc:spr:joevec:v:7:y:1997:i:3:p:219-254

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Related research
Keywords: Industrial organisation ; Evolutionary programming ; Genetic algorithms ; Strategy selection ; Learning;

Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
D43 - Microeconomics - - Market Structure and Pricing - - - Oligopoly and Other Forms of Market Imperfection
D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Kellermann, Konrad & Balmann, Alfons, 2006. "How Smart Should Farms Be Modeled? Behavioral Foundation of Bidding Strategies in Agent-Based Land Market Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25446, International Association of Agricultural Economists. [Downloadable!]
  2. Windrum,Paul, 1999. "Simulation models of technological innovation: A Review," Research Memoranda 005, Maastricht : MERIT, Maastricht Economic Research Institute on Innovation and Technology. [Downloadable!]
  3. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," Caepr Working Papers 2008-010, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington. [Downloadable!]
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