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 tocomplex 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.State-of-the-art contributions from top researchers in the field of agent-based simulations in social sciences INDICE: Part I Market Mechanisms: Zero-Intelligence Trading Without Resampling.- Understanding the Price Dynamics of a Real Market Using Simulations: the Dutch Auction of the Pescara Wholesale Fish Market.- Market Behavior under Zero-Intelligence Trading and Price Awareness.- Part II Evolution and Decision Making: Evolutionary Switching between Forecasting Heuristics: an Explanation of an Asset-Pricing Experiment.- Prospect Theory Behavioral Assumptions in an Artificial Financial Economy.- Computing the Evolution of Walrasian Behavior.-Multidimensional Evolving Opinion for Sustainable Consumption Decision.- PartIII Information Economics: Local Interaction, Incomplete Information and Properties of Asset Prices.- Long-term Orientation in Trade.- Agent-based Experimental Economics in Signaling Games.- Part IV Methodological Issues: Why Do We Need Ontology for Agent-Based Models.- Production and Finance in EURACE.- Serious Games for Economists.- Computational Evolution.
- ISBN: 978-3-540-70553-6
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 250
- Fecha Publicación: 01/08/2008
- Nº Volúmenes: 1
- Idioma: Inglés