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Simulation of Cooperation for Price Competition in Oligopolies

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Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

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Abstract

In this research, an agent-based simulation model for price competition in oligopolies is built and Genetic Algorithm is used to evolve the oligopolies’ decisions of price while facing the competitors in markets. The experimental results show two factors influencing the price competition situations and ‘given’ factor that competitor can not control leads strong influence on their decision of price. Total cooperation (Collusion to high prices) seems not to be achieved under the different parameter settings while many competitors involving in the market and a limitation of cooperation forms in which no effect forces the achievement of total cooperation.

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, TD., Fyfe, C. (2006). Simulation of Cooperation for Price Competition in Oligopolies. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_90

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  • DOI: https://doi.org/10.1007/11903697_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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