Organization, Learning and Cooperation

Jason Barr and Francesco Saraceno

Working Papers from HAL

Abstract: This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner's Dilemma type game, but must also learn to map environmental signals to demand parameters and to its rival's willingness to cooperate. We study the prospects for cooperation given the need for the firm to learn the environment and its rival's output. We show how profit and cooperation rates are affected by the sizes of both firms, their willingness to cooperate, and by environmental complexity. In addition, we investigate equilibrium firm size and cooperation rates.

Keywords: Artificial Neural Networks; Prisoner's Dilemma; Cooperation; Firm learning (search for similar items in EconPapers)
Date: 2004-03
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-01065495
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://sciencespo.hal.science/hal-01065495/document (application/pdf)

Related works:
Journal Article: Organization, learning and cooperation (2009)
Working Paper: Organization, learning and cooperation (2009)
Working Paper: Organization, learning and cooperation (2009)
Working Paper: Organization, Learning and Cooperation (2004)
Working Paper: Organization, Learning and Cooperation (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01065495

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().