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Surveys the research on Agent-based Computational Economics, the computational study of economic processes modeled as dynamic systems of interacting agents. This book covers such topics as: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; market design; and more.

With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. This book summarizes advances in economic thought, revealing some of the potential offered by modern computational methods.