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130626 ||| eng |
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|a 9783540705567
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100 |
1 |
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|a Schredelseker, Klaus
|e [editor]
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245 |
0 |
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|a Complexity and Artificial Markets
|h Elektronische Ressource
|c edited by Klaus Schredelseker, Florian Hauser
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250 |
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|a 1st ed. 2008
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2008, 2008
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300 |
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|a XX, 234 p. 73 illus
|b online resource
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505 |
0 |
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|a 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
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653 |
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|a Complex Systems
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653 |
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|a Computer Application in Social and Behavioral Sciences
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653 |
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|a Social sciences / Data processing
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653 |
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|a System theory
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653 |
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|a Quantitative Economics
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653 |
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|a Mathematical physics
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653 |
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|a Econometrics
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653 |
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|a Theoretical, Mathematical and Computational Physics
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700 |
1 |
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|a Hauser, Florian
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Lecture Notes in Economics and Mathematical Systems
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028 |
5 |
0 |
|a 10.1007/978-3-540-70556-7
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-70556-7?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 330.015195
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520 |
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|a 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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