Edited by
Leigh Tesfatsion, Iowa State University, Ames, IA, USA
Kenneth Judd, Hoover Institution, Stanford, CA, USA
Description
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.
Included in series
Handbooks in Economics
Audience:
economists
