Modeling the Firm as an Artificial Neural Network

Jason Barr () and Francesco Saraceno ()

Working Papers Rutgers University, Newark from Department of Economics, Rutgers University, Newark

Abstract: 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.

Keywords: neural networks; information processing; firm learning; agent-based (search for similar items in EconPapers)
JEL-codes: C63 D21 D83 L13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe, nep-cmp, nep-ict and nep-mic
Date: 2005-10
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Persistent link: http://EconPapers.repec.org/RePEc:run:wpaper:2005-011

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