Computational Techniques for Modelling Learning in Economics / Edition 1

Hardcover (Print)
Buy New
Buy New from
Used and New from Other Sellers
Used and New from Other Sellers
from $18.00
Usually ships in 1-2 business days
(Save 93%)
Other sellers (Hardcover)
  • All (7) from $18.00   
  • New (3) from $191.61   
  • Used (4) from $18.00   


Computational Techniques for Modelling Learning in Economics offers a critical overview of 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, incl uding the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least s quares learning, Bayesian learning, boundedly rational models and cogn itive learning models. Each paper describes the technique it uses, giv es an example of its applications, and discusses the advantages and di sadvantages of the technique.

Read More Show Less

Product Details

  • ISBN-13: 9780792385035
  • Publisher: Springer US
  • Publication date: 5/31/1999
  • Series: Advances in Computational Economics Series, #11
  • Edition description: 1999
  • Edition number: 1
  • Pages: 391
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.94 (d)

Table of Contents

List of Contributors
Pt. 1 Simulating in Economics
Evolutionary Economics and Simulation 3
Simulation as a Tool to Model Stochastic Processes in Complex Systems 45
Pt. 2 Evolutionary Approaches
Learning by Genetic Algorithms in Economics? 73
Can Learning-Agent Simulations Be Used for Computer Assisted Design in Economics? 101
On the Emergence of Attitudes towards Risk 123
Interdependencies, Nearly-decomposability and Adaptation 145
Pt. 3 Neural Networks and Local Interaction
Neural Networks in Economics 169
Genetic Algorithms and Neural Networks: A Comparison Based on the Repeated Prisoners Dilemma 197
Local Interaction as a Model of Social Interaction? 221
Pt. 4 Boundedly Rational and Rational Models
Memory, Learning and the Selection of Equilibria in a Model with Non-Uniqueness 243
A Behavioral Approach to a Strategic Market Game 261
Bayesian Learning in Optimal Growth Models under Uncertainty 283
Pt. 5 Cognitive Learning Models
Modelling Bounded Rationality in Agent-based Simulations Using the Evolution of Mental Models 305
Cognitive Learning in Prisoner's Dilemma Situations 333
A Cognitively Rich Methodology for Modelling Emergent Socioeconomic Phenomena 363
Index 387
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)