Modeling the Firm as an Artificial Neural Network
AbstractThe 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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Bibliographic InfoPaper provided by Department of Economics, Rutgers University, Newark in its series Working Papers Rutgers University, Newark with number 2005-011.
Length: 30 pages
Date of creation: Oct 2005
Date of revision:
neural networks; information processing; firm learning; agent-based;
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-12 (All new papers)
- NEP-CBE-2005-11-12 (Cognitive & Behavioural Economics)
- NEP-CMP-2005-11-12 (Computational Economics)
- NEP-ICT-2005-11-12 (Information & Communication Technologies)
- NEP-MIC-2005-11-12 (Microeconomics)
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.:
- Jason Barr & Francesco Saraceno, 2009.
"Organization, learning and cooperation,"
Sciences Po publications
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"Agent-Based Models of Organizations,"
Economics Working Paper Archive
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- Barr, Jason & Saraceno, Francesco, 2005. "Cournot competition, organization and learning," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 277-295, January.
- Chung-Ming Kuan, 2006. "Artificial Neural Networks," IEAS Working Paper : academic research 06-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Guido Fioretti, .
"Recognizing Investment Opportunities at the Onset of Recoveries,"
Modeling, Computing, and Mastering Complexity 2003
07, Society for Computational Economics.
- Fioretti, Guido, 2006. "Recognising investment opportunities at the onset of recoveries," Research in Economics, Elsevier, vol. 60(2), pages 69-84, June.
- Guido Fioretti, 2002. "Recognizing Investment Opportunities at the Onset of Recoveries," Macroeconomics 0207008, EconWPA.
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