Evolved Perception and Behaviour in Oligopolies
AbstractA previous study, which examined oligopolists as responding simply to past prices of their strategic rivals, used data from a mature market with stable rules of thumb (mappings from past actions or states of the market to present prices) for the oligopolists' behaviour, whether purposefully learnt or emerging from the natural selection of the rivalry. The earlier study imposed exogenous partitions on the action space, as perceived by the players. This study explores how such perceptions might be endogenised. A firm answer to the question of how oligopolists partition their perceptions of others' actions, both through time and across the price space, will also provide information on how much or how little information they choose to use: in short, how boundedly rational oligopolists are. We use data from a retail coffee market to examine the evolved optimal partitioning and mapping of price space, manifest as the oligopolists' rules of thumb.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 1996 with number _038.
Date of creation:
Date of revision:
Contact details of provider:
Postal: Department of Econometrics, University of Geneva, 102 Bd Carl-Vogt, 1211 Geneva 4, Switzerland
Web page: http://www.unige.ch/ce/ce96/welcome.html
More information through EDIRC
Other versions of this item:
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.:
- Ehud Kalai & William Stanford, 1986.
"Finite Rationality and Interpersonal Complexity in Repeated Games,"
679, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Kalai, Ehud & Stanford, William, 1988. "Finite Rationality and Interpersonal Complexity in Repeated Games," Econometrica, Econometric Society, vol. 56(2), pages 397-410, March.
- D. Samet, 1987.
"Ignoring Ignorance and Agreeing to Disagree,"
749, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Barton L. Lipman, 1993.
"Information Processing and Bounded Rationality: A Survey,"
872, Queen's University, Department of Economics.
- Barton L. Lipman, 1995. "Information Processing and Bounded Rationality: A Survey," Canadian Journal of Economics, Canadian Economics Association, vol. 28(1), pages 42-67, February.
- Banks, J.S. & Sundaram, R.K., 1989.
"Repeated Games, Finite Automata, And Complexity,"
RCER Working Papers
183, University of Rochester - Center for Economic Research (RCER).
- David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997.
"Breeding Competitive Strategies,"
INFORMS, vol. 43(3), pages 257-275, March.
- John Geanakoplos, 1989. "Game Theory Without Partitions, and Applications to Speculation and Consensus," Cowles Foundation Discussion Papers 914, Cowles Foundation for Research in Economics, Yale University.
- Ariel Rubinstein, 1997.
"Finite automata play the repeated prisioners dilemma,"
Levine's Working Paper Archive
1639, David K. Levine.
- Rubinstein, Ariel, 1986. "Finite automata play the repeated prisoner's dilemma," Journal of Economic Theory, Elsevier, vol. 39(1), pages 83-96, June.
- Dow, James, 1991. "Search Decisions with Limited Memory," Review of Economic Studies, Wiley Blackwell, vol. 58(1), pages 1-14, January.
- Dimitri, Nicola, 1993. "Learning partitions," Economics Letters, Elsevier, vol. 42(2-3), pages 195-199.
- Slade, Margaret E, 1992. "Vancouver's Gasoline-Price Wars: An Empirical Exercise in Uncovering Supergame Strategies," Review of Economic Studies, Wiley Blackwell, vol. 59(2), pages 257-76, April.
- Jasmina Arifovic & Alexander Karaivanov, 2007.
"Learning by Doing vs. Learning from Others in a Principal-Agent Model,"
dp07-24, Department of Economics, Simon Fraser University.
- Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.