http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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.
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.
edited by Klaus Schredelseker, Florian Hauser.
Economic Theory/Quantitative Economics/Mathematical Methods
Computer Appl. in Social and Behavioral Sciences
Statistical Physics, Dynamical Systems and Complexity
Lecture Notes in Economics and Mathematical Systems, 614