: M. Beckmann, H. P. Künzi, G. Fandel, W. Trockel, A. Basile, A. Drexl, H. Dawid, K. Inderfurth, W. Kü
: Philippe Mathieu, Bruno Beaufils, Olivier Brandouy
: Artificial Economics Agent-Based Methods in Finance, Game Theory and Their Applications
: Springer-Verlag
: 9783540285472
: 1
: CHF 85.50
:
: Volkswirtschaft
: English
: 238
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

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.
Preface5
Contents9
List of Contributors11
Artificial Stock Maricets14
Time Series Properties from an Artificial Stock Market with a Walrasian Auctioneer15
Market Dynamics and Agents Behaviors: a Computational Approach27
Traders Imprint Themselves by Adaptively Updating their Own Avatar39
Learning in Models51
Learning in Continuous Double Auction Market52
Firms Adaptation in Dynamic Economic Systems63
Firm Size Dynamics in a Coumot Computational Model75
Case- Studies and Applications87
Emergence of a Self- Organized Dynamic Fishery Sector: Application to Simulation of the Small- Scale Fresh Fish Supply Chain in Senegal.88
Multi-Agent Model of Trust in a Human Game99
A Counterexample for the Bullwhip Effect in a Supply Chain111
Bottom- Up Approaches120
Collective Efficiency in Two- Sided Matching121
Complex Dynamics, Financial Fragility and Stylized Facts133
Noisy Trading in the Large Market Limit142
Emergence in Multi- Agent Systems: Cognitive Hierarchy, Detection, and Complexity Reduction part I: Methodological Issues151
Methodological Issues164
The Implications of Case- Based Reasoning in Strategic Contexts165
A Model of Myerson- Nash Equilibria in Networks177
Market Dynamics191
Stock Price Dynamics in Artificial Multi-Agent Stock Markets192
Market Failure Caused by Quality Uncertainty203
Learning and the Price Dynamics of a Double- Auction Financial Market with Portfolio Traders214
How Do the Differences Among Order Distributions Affect the Rate of Investment Returns and the Contract Rate226