Cover image for Artificial Economics Agent-Based Methods in Finance, Game Theory and Their Applications
Artificial Economics Agent-Based Methods in Finance, Game Theory and Their Applications
Title:
Artificial Economics Agent-Based Methods in Finance, Game Theory and Their Applications
Author:
Beckmann, M. editor.
ISBN:
9783540285472
Physical Description:
XIV, 238 p. online resource.
Series:
Lecture Notes in Economics and Mathematical Systems, 564
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.
Abstract:
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.
Added Corporate Author:
Holds: Copies: