Complexity and Artificial Markets [electronic resource] /edited by Klaus Schredelseker, Florian Hauser.
by Schredelseker, Klaus [editor.]; Hauser, Florian [editor.]; SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Economics and Mathematical Systems: 614Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: online resource.ISBN: 9783540705567.Subject(s): Economics | Social sciences -- Data processing | Economics, Mathematical | Economics/Management Science | Game Theory/Mathematical Methods | Computer Appl. in Social and Behavioral Sciences | Statistical Physics, Dynamical Systems and ComplexityDDC classification: 330.0151 | 330 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | HB144 (Browse shelf) | Available |
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.
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.
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