Research Catalog

Computational techniques for modelling learning in economics

Title
Computational techniques for modelling learning in economics / edited by Thomas Brenner.
Publication
Boston : Kluwer Academic Publishers, [1999], ©1999.

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TextRequest in advance HB135 .C632 1999Off-site

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Details

Additional Authors
Brenner, Thomas, 1968-
Description
xiii, 390 pages : illustrations; 25 cm.
Summary
  • "Computational Techniques for Modelling Learning in Economics offers a critical overview on the computational techniques that are frequently used for modelling learning in economics.
  • It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique.
  • Hence, the book offers some guiding in the field of modelling learning in computation economics."--BOOK JACKET.
Series Statement
Advances in computational economics ; v. 11
Uniform Title
Advances in computational economics ; v. 11.
Subjects
Bibliography (note)
  • Includes bibliographical references and index.
Contents
  • Pt. 1. Simulating in Economics. Evolutionary Economics and Simulation / Witold Kwasnicki. Simulation as a Tool to Model Stochastic Processes in Complex Systems / Klaus G. Troitzsch -- Pt. 2. Evolutionary Approaches. Learning by Genetic Algorithms in Economics? / Frank Beckenbach. Can Learning-Agent Simulations Be Used for Computer Assisted Design in Economics? / Tony Curzon Price. On the Emergence of Attitudes towards Risk / Steffen Huck, Wieland Muller and Martin Strobel. Interdependencies, Nearly-decomposability and Adaptation / Koen Frenken, Luigi Marengo and Marco Valente -- Pt. 3. Neural Networks and Local Interaction. Neural Networks in Economics / Ralf Herbrich, Max Keilbach and Thore Graepel / [et al.]. Genetic Algorithms and Neural Networks: A Comparison Based on the Repeated Prisoners Dilemma / Robert E. Marks and Hermann Schnabl. Local Interaction as a Model of Social Interaction? / Dorothea K. Herreiner -- Pt. 4. Boundedly Rational and Rational Models.
  • Memory, Learning and the Selection of Equilibria in a Model with Non-Uniqueness / Emilio Barucci. A Behavioral Approach to a Strategic Market Game / Martin Shubik and Nicolaas J. Vriend. Bayesian Learning in Optimal Growth Models under Uncertainty / Sardar M. N. Islam -- Pt. 5. Cognitive Learning Models. Modelling Bounded Rationality in Agent-based Simulations Using the Evolution of Mental Models / Bruce Edmonds. Cognitive Learning in Prisoner's Dilemma Situations / Thomas Brenner. A Cognitively Rich Methodology for Modelling Emergent Socioeconomic Phenomena / Scott Moss.
ISBN
0792385039 (alk. paper)
LCCN
99025823
OCLC
  • 40990315
  • ocm40990315
Owning Institutions
Columbia University Libraries