Editors:
- State-of-the-art contributions from top researchers in the field of agent-based simulations in social sciences
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 614)
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Table of contents (15 chapters)
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Front Matter
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Evolution and Decision Making
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Invited Speakers
About this book
In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision making, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodological perspective. The papers presented in this collection combine approaches from economics, finance, computer science, natural sciences, philosophy, and cognitive sciences.
Editors and Affiliations
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Institute for Banking and Finance, University of Innsbruck, Innsbruck, Austria
Klaus Schredelseker, Florian Hauser
Bibliographic Information
Book Title: Complexity and Artificial Markets
Editors: Klaus Schredelseker, Florian Hauser
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-540-70556-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-70553-6Published: 28 August 2008
eBook ISBN: 978-3-540-70556-7Published: 30 July 2008
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XX, 234
Number of Illustrations: 73 b/w illustrations
Topics: Econometrics, Economic Theory/Quantitative Economics/Mathematical Methods, Computer Appl. in Social and Behavioral Sciences, Complex Systems, Statistical Physics and Dynamical Systems