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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 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|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
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|a Lecture Notes in Economics and Mathematical Systems,
|x 2196-9957 ;
|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 Econometrics.
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|a Social sciences
|x Data processing.
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|a System theory.
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|a Mathematical physics.
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|a Econometrics.
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|a Quantitative Economics.
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|a Computer Application in Social and Behavioral Sciences.
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|a Complex Systems.
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|a Theoretical, Mathematical and Computational Physics.
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|a Schredelseker, Klaus.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Hauser, Florian.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540866534
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776 |
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|i Printed edition:
|z 9783540705536
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|a Lecture Notes in Economics and Mathematical Systems,
|x 2196-9957 ;
|v 614
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-540-70556-7
|z Texto Completo
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|a ZDB-2-SBE
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|a ZDB-2-SXEF
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|a Business and Economics (SpringerNature-11643)
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950 |
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|a Economics and Finance (R0) (SpringerNature-43720)
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