TY  - BOOK
AU  - Teglio,Andrea
AU  - Alfarano,Simone
AU  - Camacho-Cuena,Eva
AU  - Ginés-Vilar,Miguel
ED  - SpringerLink (Online service)
TI  - Managing Market Complexity: The Approach of Artificial Economics 
T2  - Lecture Notes in Economics and Mathematical Systems,
SN  - 9783642313011
AV  - HB1-846.8 
U1  - 330.1 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Finance
KW  - Computer graphics
KW  - Game theory
KW  - Physics
KW  - Economic theory
KW  - Industrial organization
KW  - Economics
KW  - Economic Theory/Quantitative Economics/Mathematical Methods
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Complex Networks
KW  - Game Theory, Economics, Social and Behav. Sciences
KW  - Finance, general
KW  - Industrial Organization
N1  - Preface -- Part I: Networks -- Part II: Macroeconomics -- Part III: Finance -- Part IV: Industrial Organization -- Part V: Management -- Part VI: Methodological  Issues
N2  - The field of artificial economics (AE) embraces a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The overarching principle of AE is the analysis of aggregate properties of artificial economies populated by adaptive agents that are equipped with behavioural rules and specific individual targets. These aggregate properties are neither foreseen nor intended by the artificial agents; conversely they are emerging characteristics of such artificially simulated systems. The book presents a peer-reviewed collection of papers addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues
UR  - http://dx.doi.org/10.1007/978-3-642-31301-1
ER  -