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Economics - Econometrics / Statistics | Progress in Artificial Economics - Computational and Agent-Based Models

Progress in Artificial Economics

Computational and Agent-Based Models

Li Calzi, Marco, Milone, Lucia, Pellizzari, Paolo (Eds.)

2010, XXIV, 264p. 108 illus..

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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.

Content Level » Research

Keywords » Analysis - algorithms - information management - learning - optimization - organization - programming - service-oriented computing - simulation

Related subjects » Econometrics / Statistics - Game Theory / Mathematical Methods

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