TY  - BOOK
AU  - Amblard,Frédéric
AU  - Miguel,Francisco J.
AU  - Blanchet,Adrien
AU  - Gaudou,Benoit
ED  - SpringerLink (Online service)
TI  - Advances in Artificial Economics
T2  - Lecture Notes in Economics and Mathematical Systems,
SN  - 9783319095783
AV  - HB1-846.8 
U1  - 330.1 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer organization
KW  - Application software
KW  - System theory
KW  - economic theory
KW  - Economics
KW  - Economic Theory/Quantitative Economics/Mathematical Methods
KW  - Computer Systems Organization and Communication Networks
KW  - Computer Appl. in Social and Behavioral Sciences
KW  - Complex Systems
N1  - Does Collaboration Pay?- Why Do Firms Exist?- The "Win-Continue, Lose-Reverse" Rule in Cournot Oligopolies -- Organizational Change for Its Own Sake?- Best Practices in Programming Agent-Based Models in Economics and Finance -- Building Artificial Economies -- Spontaneous Segregation of Agents Across Double Auction Markets -- The J-Curve and Transaction Taxes -- Insights from an Artificial Stock Market -- What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency -- An Agent Based Propagation Model of Bank Failures -- Direct vs. Side Effects in Financial Contagion -- Saudis and Expats - an Agent-Based Model of the Saudi Arabian Labor Market -- Forbidding Fixed Duration Contracts -- Shadow Economy and Wealth Distribution -- Distribution Effects of Extortion Racket Systems -- Impacts on Stability of Interdependencies Between Markets in a Cobweb Model -- Detecting Key Variables in System Dynamics Modelling by Using Social Network Metrics -- Trade-in Programs in the Context of Technological Innovation with Herding -- Evaluating Scenarios for Upgrading Sustainability of the Meat Supply Chain
N2  - The book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The grounding principle of artificial economics is the analysis of aggregate properties of simulated systems populated by interacting adaptive agents that are equipped with heterogeneous individual behavioral rules. These macroscopic properties are neither foreseen nor intended by the artificial agents but generated collectively by them. They are emerging characteristics of such artificially simulated systems
UR  - http://dx.doi.org/10.1007/978-3-319-09578-3
ER  -