Handbook of Computational Economics - Volume 2
By: Tesfatsion, Leigh (ed.) | Judd, Kenneth L. (ed.).
Material type: BookSeries: Handbook of Computational Economics. Publisher: Amsterdam et al., Elsevier, 2006Description: 1659 pages.ISBN: 978-0-444-52980-0.Subject(s): Agent-based Computational Economics (ACE) | agent-based modeling | handbookOnline resources: Publisher's website Summary: 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.Item type | Current location | Call number | Status | Date due | Barcode |
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Anthology | Library | C6 8 -2 (Browse shelf) | Checked out | 31.08.2023 | 00140706 |
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.
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