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…mehr
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.
Produktdetails
Produktdetails
Lecture Notes in Economics and Mathematical Systems 564
Artikelnr. des Verlages: 11540496, 978-3-540-28578-6
2006
Seitenzahl: 256
Erscheinungstermin: 2. September 2005
Englisch
Abmessung: 235mm x 155mm x 16mm
Gewicht: 394g
ISBN-13: 9783540285786
ISBN-10: 3540285784
Artikelnr.: 14981567
Autorenporträt
Pilippe Mathieu, Cité Scientifique, Villeneuve d'Ascq, France / Bruno Beaufils, Cité Scientifique, Villeneuve d'Ascq, France / Olivier Brandouy, Claree, USTL, Lille, France
Inhaltsangabe
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.
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.
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.
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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