Progress in Artificial Economics: Computational and Agent-Based Models
Marco Li Calzi · Lucia Milone · Paolo Pellizzari
avg, 2010 · Lecture Notes in Economics and Mathematical Systems 645-kitob · Springer Science & Business Media
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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.
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