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03530nam a22005175i 4500 |
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|a 9783540705567
|9 978-3-540-70556-7
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|a 10.1007/978-3-540-70556-7
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|a HB139-141
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|a 330.015195
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|a Complexity and Artificial Markets
|h [electronic resource] /
|c edited by Klaus Schredelseker, Florian Hauser.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2008.
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|a XX, 234 p. 73 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a text file
|b PDF
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|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 614
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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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|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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|a Application software.
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|a Statistical physics.
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| 650 |
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|a Dynamical systems.
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| 650 |
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|a Economic theory.
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| 650 |
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|a Econometrics.
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|a Economics.
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| 650 |
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|a Econometrics.
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|a Economic Theory/Quantitative Economics/Mathematical Methods.
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| 650 |
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|a Computer Appl. in Social and Behavioral Sciences.
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| 650 |
2 |
4 |
|a Statistical Physics, Dynamical Systems and Complexity.
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| 700 |
1 |
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|a Schredelseker, Klaus.
|e editor.
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| 700 |
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|a Hauser, Florian.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783540705536
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| 830 |
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|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 614
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-540-70556-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SBE
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| 950 |
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|a Business and Economics (Springer-11643)
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