Handbook of Computational Economics: Agent-Based Computational Economics (Volume 2) (Handbooks in Economics, Volume 2, Band 13)

Leigh Tesfatsion

ISBN 10: 0444512535 / ISBN 13: 9780444512536

Editore: North Holland, 2006

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Gebraucht - Sehr gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Einband durch Lager- oder Transportschaden -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 904 pp. Englisch.

Codice articolo INF1000337933

Dati bibliografici

• Titolo: Handbook of Computational Economics: Agent-Based Computational Economics (Volume 2) (Handbooks in Economics, Volume 2, Band 13)
• Editore: North Holland
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0444512535
• ISBN 13: 9780444512536
• Rilegatura: hardcover
• Condizione: Sehr gut
• Peso: 1510 grammi

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Riassunto

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