E-Book, Englisch, 238 Seiten
Beckmann / Fandel / Trockel Artificial Economics
1. Auflage 2005
ISBN: 978-3-540-28547-2
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Agent-Based Methods in Finance, Game Theory and Their Applications
E-Book, Englisch, 238 Seiten
ISBN: 978-3-540-28547-2
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Autoren/Hrsg.
Weitere Infos & Material
1;Preface;5
2;Contents;9
3;List of Contributors;11
4;Artificial Stock Maricets;14
4.1;Time Series Properties from an Artificial Stock Market with a Walrasian Auctioneer;15
4.2;Market Dynamics and Agents Behaviors: a Computational Approach;27
4.3;Traders Imprint Themselves by Adaptively Updating their Own Avatar;39
5;Learning in Models;51
5.1;Learning in Continuous Double Auction Market;52
5.2;Firms Adaptation in Dynamic Economic Systems;63
5.3;Firm Size Dynamics in a Coumot Computational Model;75
6;Case- Studies and Applications;87
6.1;Emergence of a Self- Organized Dynamic Fishery Sector: Application to Simulation of the Small- Scale Fresh Fish Supply Chain in Senegal.;88
6.2;Multi-Agent Model of Trust in a Human Game;99
6.3;A Counterexample for the Bullwhip Effect in a Supply Chain;111
7;Bottom- Up Approaches;120
7.1;Collective Efficiency in Two- Sided Matching;121
7.2;Complex Dynamics, Financial Fragility and Stylized Facts;133
7.3;Noisy Trading in the Large Market Limit;142
7.4;Emergence in Multi- Agent Systems: Cognitive Hierarchy, Detection, and Complexity Reduction part I: Methodological Issues;151
8;Methodological Issues;164
8.1;The Implications of Case- Based Reasoning in Strategic Contexts;165
8.2;A Model of Myerson- Nash Equilibria in Networks;177
9;Market Dynamics;191
9.1;Stock Price Dynamics in Artificial Multi-Agent Stock Markets;192
9.2;Market Failure Caused by Quality Uncertainty;203
9.3;Learning and the Price Dynamics of a Double- Auction Financial Market with Portfolio Traders;214
9.4;How Do the Differences Among Order Distributions Affect the Rate of Investment Returns and the Contract Rate;226
