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Complexity and Artificial Markets

  • Book
  • © 2008

Overview

Editors:
  1. Klaus Schredelseker

    1. Institute for Banking and Finance, University of Innsbruck, Innsbruck, Austria

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  2. Florian Hauser

    1. Institute for Banking and Finance, University of Innsbruck, Innsbruck, Austria

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    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xix
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  3. Evolution and Decision Making

    1. Evolutionary Switching between Forecasting Heuristics: An Explanation of an Asset-Pricing Experiment

      • Mikhail Anufriev, Cars Hommes
      Pages 41-53

    2. Prospect Theory Behavioral Assumptions in an Artificial Financial Economy

      • Marco Raberto, Andrea Teglio, Silvano Cincotti
      Pages 55-66

    3. Computing the Evolution of Walrasian Behaviour

      • Gonzalo Fernández-de-Córdoba, Álvaro P. Navas
      Pages 67-76

    4. Multidimensional Evolving Opinion for Sustainable Consumption Decision

      • Sabine Garabedian
      Pages 77-87

  4. Information Economics

    1. Local Interaction, Incomplete Information and Properties of Asset Prices

      • Richard Hule, Jochen Lawrenz
      Pages 91-105

    2. Long-Term Orientation in Trade

      • Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart
      Pages 107-119

    3. Agent-Based Experimental Economics in Signaling Games

      • Adolfo López-Paredes, Marta Posada, Cesáreo Hernández, Javier Pajares
      Pages 121-129

  5. Methodological Issues

    1. Why do we need Ontology for Agent-Based Models?

      • Pierre Livet, Denis Phan, Lena Sanders
      Pages 133-145

    2. Production and Finance in EURACE

      • Sander van der Hoog, Christophe Deissenberg, Herbert Dawid
      Pages 147-158

    3. Serious Games for Economists

      • Wilbert Grevers, Anne van der Veen
      Pages 159-171

  6. Invited Speakers

    1. Computational Evolution

      • Peter A. Henning
      Pages 175-193

    2. Artificial Markets: Rationality and Organisation

      • Alan Kirman
      Pages 195-234
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Keywords

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

  • Institute for Banking and Finance, University of Innsbruck, Innsbruck, Austria

    Klaus Schredelseker, Florian Hauser

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