The explosive growth in computational power over the past several
decades offers new tools and opportunities for economists. This
handbook volume surveys recent research on Agent-based
Computational Economics (ACE), the computational study of economic
processes modeled as dynamic systems of interacting agents.
Empirical referents for "agents" in ACE models can range from
individuals or social groups with learning capabilities to physical
world features with no cognitive function. Topics covered include:
learning; empirical validation; network economics; social dynamics;
financial markets; innovation and technological change;
organizations; market design; automated markets and trading agents;
political economy; social-ecological systems; computational
laboratory development; and general methodological issues.
*Every volume contains contributions from leading researchers
*Each Handbook presents an accurate, self-contained survey of a
particular topic
*The series provides comprehensive and accessible surveys
General
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