The Neuroeconomics of Learning and Information Processing; Applying Markov Decision Process
This paper deals with cognitive theories behind agent-based modeling of learning and information processing methodologies. Herein, I undertake a descriptive analysis of how human agents learn to select action and maximize their value function under reinforcement learning model. In doing so, I have considered the spatio-temporal environment under bounded rationality using Markov Decision process modeling to generalize patterns of agent behavior by analyzing the determinants of value functions, and of factors that modify policy- action-induced cognitive abilities. Since detecting patterns are central to the human cognitive skills, this paper aspires at uncovering the entanglements of complex contextual pattern identification by linking contexts with optimal decisions that agents undertake under hypercompetitive market pressure through learning which have however, implicative applications in a wide array of social and macroeconomic domains.
|Date of creation:||14 Feb 2011|
|Date of revision:|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
References listed on IDEAS
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.:
- Anat Bracha & Donald Brown, 2010. "Affective Decision-Making: A Theory of Optimism-Bias," Levine's Working Paper Archive 661465000000000123, David K. Levine.
- Herbert Simon, 2000. "Bounded rationality in social science: Today and tomorrow," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 25-39, March.
- Luigi Marengo & Giovanni Dosi & Paolo Legrenzi & Corrado Pasquali, 1999.
"The structure of problem-solving knowledge and the structure of organisations,"
LEM Papers Series
1999/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Marengo, Luigi, et al, 2000. "The Structure of Problem-Solving Knowledge and the Structure of Organizations," Industrial and Corporate Change, Oxford University Press, vol. 9(4), pages 757-88, December.
- Simon, Herbert A., 1978.
"Rational Decision-Making in Business Organizations,"
Nobel Prize in Economics documents
1978-1, Nobel Prize Committee.
- Simon, Herbert A, 1979. "Rational Decision Making in Business Organizations," American Economic Review, American Economic Association, vol. 69(4), pages 493-513, September.
- Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
- Anat Bracha & Donald J. Brown, 2010. "Affective Decision-Making: A Theory of Optimism-Bias," Cowles Foundation Discussion Papers 1759, Cowles Foundation for Research in Economics, Yale University.
- Amos Tversky & Daniel Kahneman, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Levine's Working Paper Archive
7656, David K. Levine.
- Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March.
- Paul A. David, 1997.
"Path Dependence and the Quest for Historical Economics: One More chorus of Ballad of QWERTY,"
Oxford University Economic and Social History Series
_020, Economics Group, Nuffield College, University of Oxford.
- Paul David, 1997. "Path Dependence and the Quest for Historical Economics: One More chorus of Ballad of QWERTY," Economics Series Working Papers 1997-W20, University of Oxford, Department of Economics.
- Ralph-C. Bayer & Ludovic Renou, 2011. "Cognitive abilities and behavior in strategic-form games.," Discussion Papers in Economics 11/16, Department of Economics, University of Leicester.
- Salvatore Rizzello, 2004. "Knowledge as a Path-Dependence Process," Journal of Bioeconomics, Springer, vol. 6(3), pages 255-274, 09.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- Daniel Houser & Michael Keane & Kevin McCabe, 2002.
"Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm,"
- Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, 05.
- Giovanni Dosi & Marco Faillo & Luigi Marengo & Daniele Moschella, 2011. "Toward Formal Representations of Search Processes and Routines in Organizational Problem Solving. An Assessment of the State of the Art," LEM Papers Series 2011/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Mongin, P & d'Aspremont, C, 1996.
"Utility Theory and Ethics,"
9632, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
- MONGIN, Philippe & d'ASPREMONT, Claude, . "Utility theory and ethics," CORE Discussion Papers RP 1423, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- P. Mongin & C. d'Aspremont, 1996. "Utility theory and ethics," THEMA Working Papers 96-32, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- MONGIN, Philippe & d ASPREMONT, Claude, 1996. "Utility theory and ethics," CORE Discussion Papers 1996063, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Anat Bracha & Donald J. Brown, 2010. "Affective decision making: a theory of optimism bias," Working Papers 10-16, Federal Reserve Bank of Boston.
- Herbert A. Simon, 1999. "The many shapes of knowledge," Revue d'Économie Industrielle, Programme National Persée, vol. 88(1), pages 23-39.
- Egidi Massimo & Rizzello Salvatore, 2003. "Cognitive economics: Foundations and historical evolution," CESMEP Working Papers 200304, University of Turin.
- Novarese, Marco & Lanteri, Alessandro, 2007. "Individual learning: theory formation, and feedback in a complex task," MPRA Paper 3049, University Library of Munich, Germany.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:28883. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.