Complexity and Artificial Markets

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.

State-of-the-art contributions from top researchers in the field of agent-based simulations in social sciences Includes supplementary material: sn.pub/extras

Contenu
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.- 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 Behaviour.- Multidimensional Evolving Opinion for Sustainable Consumption Decision.- Information Economics.- Local Interaction, Incomplete Information and Properties of Asset Prices.- Long-Term Orientation in Trade.- Agent-Based Experimental Economics in Signaling Games.- Methodological Issues.- Why do we need Ontology for Agent-Based Models?.- Production and Finance in EURACE.- Serious Games for Economists.- Invited Speakers.- Computational Evolution.- Artificial Markets: Rationality and Organisation.