About these proceedings
Artificial economics aims to provide a generative approach to understanding problems in economics and social sciences. It is based on the consistent use of agent-based models and computational techniques. It encompasses a rich variety of techniques that generalize numerical analysis, mathematical programming, and micro-simulations. The peer-reviewed contributions in this volume address applications of artificial economics to markets and trading, auctions, networks, management, industry sectors, macroeconomics, and demographics and culture.
Analysis algorithms information management learning optimization organization programming service-oriented computing simulation
Springer-Verlag Berlin Heidelberg 2010
Springer, Berlin, Heidelberg
Business and Economics
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