Overview
- 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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
Keywords
Table of contents (15 chapters)
-
Evolution and Decision Making
-
Invited Speakers
Editors and Affiliations
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