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Artificial Economics : Agent-Based Methods in Finance, Game Theory and Their Applications /

Contributor(s): Beckmann, M [editor.1 ] | K�nzi, H. P [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.1 ] | [editor.2 ] | .
Material type: materialTypeLabelBookSeries: Lecture Notes in Economics and Mathematical Systems, 5640.Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. Description: XIV, 238 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540285472.Subject(s): Computers. 0 | Application software. 0 | Economics. 0 | Management science. 0 | Economic theory. 0 | Macroeconomics.14 | Economics.24 | Economic Theory/Quantitative Economics/Mathematical Methods.24 | Economics, general.24 | Computing Methodologies.24 | Computer Appl. in Social and Behavioral Sciences.24 | Macroeconomics/Monetary Economics//Financial Economics.1DDC classification: 330.1 Online resources: Click here to access online
Contents:
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.
In: Summary: 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. 0
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Item type Current location Call number Status Date due Barcode Item holds
PK Kelkar Library, IIT Kanpur
Available EBKS0005651
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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.

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. 0

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