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|a 9783540285472
|9 978-3-540-28547-2
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|a 10.1007/3-540-28547-4
|2 doi
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|a KCA
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|a 330.9
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|a Artificial Economics
|h [electronic resource] :
|b Agent-Based Methods in Finance, Game Theory and Their Applications /
|c edited by Philippe Mathieu, Bruno Beaufils, Olivier Brandouy.
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|a 1st ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a XIV, 238 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Economics and Mathematical Systems,
|x 2196-9957 ;
|v 564
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|a Artificial Stock Markets -- Time Series Properties from an Artificial Stock Market with a Walrasian Auctioneer -- Market Dynamics and Agents Behaviors: a Computational Approach -- Traders Imprint Themselves by Adaptively Updating their Own Avatar -- Learning in Models -- Learning in Continuous Double Auction Market -- Firms Adaptation in Dynamic Economic Systems -- Firm Size Dynamics in a Cournot Computational Model -- Case-Studies and Applications -- Emergence of a Self-Organized Dynamic Fishery Sector: Application to Simulation of the Small-Scale Fresh Fish Supply Chain in Senegal. -- Multi-Agent Model of Trust in a Human Game -- A Counterexample for the Bullwhip Effect in a Supply Chain -- Bottom-Up Approaches -- Collective Efficiency in Two-Sided Matching -- Complex Dynamics, Financial Fragility and Stylized Facts -- Noisy Trading in the Large Market Limit -- Emergence in Multi-Agent Systems: Cognitive Hierarchy, Detection, and Complexity Reduction part I: Methodological Issues -- Methodological Issues -- The Implications of Case-Based Reasoning in Strategic Contexts -- A Model of Myerson-Nash Equilibria in Networks -- Market Dynamics -- Stock Price Dynamics in Artificial Multi-Agent Stock Markets -- Market Failure Caused by Quality Uncertainty -- Learning and the Price Dynamics of a Double-Auction Financial Market with Portfolio Traders -- How Do the Differences Among Order Distributions Affect the Rate of Investment Returns and the Contract Rate.
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|a Agent-based Computational Economics (ACE) is a new discipline of economics, largely grounded on concepts like evolution, auto-organisation and emergence: it intensively uses computer simulations as well as artificial intelligence, mostly based on multi-agents systems. The purpose of this book is to give an up-to date view of the scientific production in the fields of Agent-based Computational Economics (mainly in Market Finance and Game Theory). Based on communications given at AE'2005 (Lille, USTL, France), this book offers a wide panorama of recent advances in ACE (both theoretical and methodological) that will interest academics as well as practitioners.
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|a Econometrics.
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|a Economics.
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|a Artificial intelligence.
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|a Social sciences
|x Data processing.
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|a Macroeconomics.
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|a Quantitative Economics.
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650 |
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4 |
|a Economics.
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650 |
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4 |
|a Artificial Intelligence.
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650 |
2 |
4 |
|a Computer Application in Social and Behavioral Sciences.
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650 |
2 |
4 |
|a Macroeconomics and Monetary Economics.
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700 |
1 |
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|a Mathieu, Philippe.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Beaufils, Bruno.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Brandouy, Olivier.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer Nature eBook
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776 |
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8 |
|i Printed edition:
|z 9783540814894
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776 |
0 |
8 |
|i Printed edition:
|z 9783540285786
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830 |
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|a Lecture Notes in Economics and Mathematical Systems,
|x 2196-9957 ;
|v 564
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856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/3-540-28547-4
|z Texto Completo
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912 |
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|a ZDB-2-SBE
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912 |
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|a ZDB-2-SXEF
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950 |
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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)
|