Modeling the Firm as an Artificial Neural Network

The purpose of this chapter is two-fold: (1) to make the case that a standard backward propagation artificial neural network (ANN) can be used as a general model of the information processing activities of the firm, and (2) to present a synthesis of Barr and Saraceno (BS) (2002, 2004, 2005), who offer various models of the firm as an artificial neural network.

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Year of publication:	2005-10
Authors:	Barr, Jason ; Saraceno, Francesco
Institutions:	Department of Economics, Rutgers University-Newark
Subject:	neural networks \| information processing \| firm learning \| agent-based

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Extent:	application/pdf
Series:	Working Papers Rutgers University, Newark.
Type of publication:	Book / Working Paper
Notes:	30 pages
Classification:	C63 - Computational Techniques ; D21 - Firm Behavior ; D83 - Search, Learning, Information and Knowledge ; L13 - Oligopoly and Other Imperfect Markets
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005519051