Complexity and Artificial Markets

ISBN-13: 9783540705536 / Angielski / Miękka / 2008 / 256 str.

Klaus Schredelseker

Opis

This book examines agent-based methods that can be used to derive results from complex models related to market mechanisms, evolution, decision making, and information economics.

Spis treści

Part I Market Mechanisms: Zero-Intelligence Trading Without Resampling by Marco LiCalzi and Paolo Pellizzari.- Understanding the Price Dynamics of a Real Market Using Simulations: the Dutch Auction of the Pescara Wholesale Fish Market by Gianfranco Giulioni and Edgardo Bucciarelli.- Market Behavior under Zero-Intelligence Trading and Price Awareness by Lucia Milone.- Part II Evolution and Decision Making: Evolutionary Switching between Forecasting Heuristics: an Explanation of an Asset-Pricing Experiment by Mikhail Anufriev and Cars Hommes.- Prospect Theory Behavioral Assumptions in an Artificial Financial Economy by Marco Raberto, Andrea Teglio, and Silvano Cincotti.- Computing the Evolution of Walrasian Behaviour by Gonzalo Fernández-de-Córdoba and Álvaro P. Navas.- Multidimensional evolving opinion for sustainable consumption decision by Sabine Garabedian.- Part III Information Economics: Local Interaction, Incomplete Information and Properties of Asset Prices by Richard Hule and Jochen Lawrenz.- Long-term Orientation in Trade by Gert Jan Hofstede, Catholijn M. Jonker, and Tim Verwaart.- Agent-based experimental economics in signaling games by Adolfo López-Paredes, Marta Posada, Cesáreo Hernández, and Javier Pajares.- Part IV Methodological Issues: Why do we need Ontology for Agent-Based Models by Pierre Livet, Denis Phan, and Lena Sanders.- Production and Finance in EURACE by Sander van der Hoog, Christophe Deissenberg, and Herbert Dawid.- Serious Games for Economists by Wilbert Grevers and Anne van der Veen.- Computational Evolution by Peter A. Henning.

Blurb

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.