A Computational Theory of the Firm - Sciences Po Accéder directement au contenu
Article Dans Une Revue Journal of Economic Behavior and Organization Année : 2002

A Computational Theory of the Firm

Résumé

This paper proposes using computational learning theory (CLT) as a framework for analyzing the information processing behavior of firms; we argue that firms can be viewed as learning algorithms. The costs and benefits of processing information are linked to the structure of the firm and its relationship with the environment. We model the firm as a type of artificial neural network (ANN). By a simulation experiment, we show which types of networks maximize the net return to computation given different environments.

Dates et versions

hal-03597701 , version 1 (04-03-2022)

Identifiants

Citer

Jason Barr, Francesco Saraceno. A Computational Theory of the Firm. Journal of Economic Behavior and Organization, 2002, 49 (3), pp.345 - 361. ⟨10.1016/S0167-2681(02)00002-1⟩. ⟨hal-03597701⟩

Collections

SCIENCESPO OFCE
9 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More