Co-Evolving Better Strategies in Oligopolistic Price Wars

Author:

Marks R.1,Midgley D.2,Cooper L.3

Affiliation:

1. Australian Graduate School of Management, Australia

2. INSEAD, France

3. UCLA, USA

Abstract

Using empirical market data from brand rivalry in a retail ground-coffee market, we model each idiosyncratic brand’s pricing behavior using the restriction that marketing strategies depend only on profit-relevant state variables, and use the genetic algorithm to search for co-evolved equilibria, where each profit-maximizing brand manager is a stimulus-response automaton, responding to past prices in the asymmetric oligopolistic market. This chapter is part of a growing study of repeated interactions and oligopolistic behavior using the GA.

Publisher

IGI Global

Reference21 articles.

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2. Axelrod, R. (1984). The evolution of cooperation. New York: Basic Books.

3. Axelrod, R. (1987). The evolution of strategies in the iterated prisoner’s dilemma. In L. Davis (Ed.), Genetic algorithms and simulated annealing (pp. 32-41). London: Pittman.

4. Cooper, L. G., & Nakanishi, M. (1988). Market share analysis: Evaluating competitive market effectiveness. Boston: Kluwer.

5. Duffy, J. (2006). Agent-based models and human subject experiments, In L. Tesfatsion & K. L. Judd (Eds.), Handbook of computational economics, volume 2, agent-based modeling (pp. 950-1011). Amsterdam: Elsevier.

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1. Validation and Functional Complexity;SSRN Electronic Journal;2013

2. Social Interactions and Innovation: Simulation Based on an Agent-Based Modular Economy;Lecture Notes in Economics and Mathematical Systems;2010

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