Modeling Complexity in Economic and Social Systems
World Scientific, Jan 1, 2002 - Business & Economics - 391 pages
Economics and the social sciences are, in fact, the "hard" sciences, as Herbert Simon argued, because the complexity of the problems dealt with cannot simply be reduced to analytically solvable models or decomposed into separate subprocesses. Nevertheless, in recent years, the emerging interdisciplinary "sciences of complexity" have provided new methods and tools for tackling these problems, ranging from complex data analysis to sophisticated computer simulations. In particular, advanced methods developed in the natural sciences have recently also been applied to social and economic problems.
The twenty-one chapters of this book reflect this modern development from various modeling perspectives (such as agent-based models, evolutionary game theory, reinforcement learning and neural network techniques, time series analysis, non-equilibrium macroscopic dynamics) and for a broad range of socio-economic applications (market dynamics, technological evolution, spatial dynamics and economic growth, decision processes, and agent societies). They jointly demonstrate a shift of perspective in economics and the social sciences that is allowing a new outlook in this field to emerge.
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Trading Behavior and Excess Volatility in Toy Markets
Percolation Models of Financial Market Dynamics
Electrodynamical Model of QuasiEfficient Financial
MultiAgent Market Modeling of Foreign Exchange Rates
Forecasting Price Increments Using an Artificial Neural
Spectral Regularization Data Complexity and Agent
Dynamics of Economic and Technological Search
New Results in a SelfOrganized Model of Technological
Adaptive Platform Dynamics in MultiParty Spatial
Subtle Nonlinearity in Popular Album Charts
Dynamical Aspects in the Adoption
Collective Choice and Mutual Knowledge Structures
Evolutionary Study of Interethnic Cooperation
Coalition Factor in the Evolution of NonKin Altruism
Optimal Payoff Functions for Members of Collectives
Firms Decision Making Process in an Evolutionary Model
Modelling Migration and Economic Agglomeration with
The Evolution of Industrial Clusters Simulating Spatial
The Growth Dynamics of German Business Firms
Human Agents Self Organizing
MODELING COMPLEXITY IN ECONOMIC AND SOCIAL SYSTEMS
MODELING COMPLEXITY IN ECONOMIC AND SOCIAL SYSTEMS.
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Fraunhofer AIS - Publikationen 2002
In: Modeling Complexity in Economic and Social Systems / Schweitzer, Frank [Hrsg.], (2002), S. v - viii Schweitzer, Frank [Hrsg.] ...
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In F. Schweitzer, editors, Modeling Complexity in Economic and Social Systems, pp. 355–369, World Scientific, 2002. Download. (unavailable). Abstract ...
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Phys. Rev. E 68, 046106 (2003): Mobilia and Redner - Majority ...
... Chur, Switzerland, 2000); Modeling Complexity in Economic and Social Systems, edited by F. Schweitzer (World Scientific, Singapore, 2002). ...
link.aps.org/ doi/ 10.1103/ PhysRevE.68.046106
Modeling complexity in economic and social systems. : Schweitzer, F. New Jersey: World Scientific, 2002, X, 391 pp. ISBN: 981-238-034-5 ISBN: 981-238-035-3 ...
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Modeling Complexity in Economic and Social Systems. di Schweitzer Frank. Prezzo di Listino: Euro 69,31 Prezzo cdbox: Euro 69,36 ...
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