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Handbook of Computational Economics (Volume 1) (Vol 1) (Handbooks in Economics, 13)

معرفی کتاب «Handbook of Computational Economics (Volume 1) (Vol 1) (Handbooks in Economics, 13)» نوشتهٔ Amman H.M., Kendrick D.A., Rust J. (eds.)، منتشرشده توسط نشر Elsevier North-Holland در سال 1996. این کتاب در فرمت djvu، زبان انگلیسی ارائه شده است.

Vol. 1 / Hans M. Amman, David A. Kendrick, and John Rust -- Vol. 2 / L. Tesfatsion and K.L. Judd The aim of this volume is to provide an introduction and selective overview of the rapidly emerging field of computational economics. Computational economics provides an important set of tools that an increasing number of economists will need to acquire in order to understand and do state-of-the-art research in virtually all areas of economics. Articles in the volume range from very applied, policy oriented applications of computational methods, to highly theoretical and mathematically complex analyses of algorithms and numerical methods. The book emphasizes the unique contributions of computational methods in economics, and focuses on problems for which well developed solutions are not already available from the literature in operations research, numerical methods, and computer science. As well as covering relatively mature areas in the field, a number of chapters are included which cover more speculative "frontier topics", in particular recently discovered computational innovations and research results. For more information on the Handbooks in Economics series, please see our homepage on http://www.elsevier.nl/locate/hes

The aim of this volume is to provide an introduction and selective overview of the rapidly emerging field of computational economics. Computational economics provides an important set of tools that an increasing number of economists will need to acquire in order to understand and do state-of-the-art research in virtually all areas of economics.

Articles in the volume range from very applied, policy oriented applications of computational methods, to highly theoretical and mathematically complex analyses of algorithms and numerical methods. The book emphasizes the unique contributions of computational methods in economics, and focuses on problems for which well-developed solutions are not already available from the literature in operations research, numerical methods, and computer science. As well as covering relatively mature areas in the field, a number of chapters are included which cover more speculative "frontier topics", in particular recently discovered computational innovations and research results.

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 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 Introduction to the Series; Contents of the Handbook; Preface; Contents of Volume 2; Agent-Based Computational Economics: A Constructive Approach to Economic Theory; Computationally Intensive Analyses in Economics; Agent Learning Representation: Advice on Modelling Economic Learning; Agent-Based Models and Human Subject Experiments; Economic Activity on Fixed Networks; ACE Models of Endogenous Interactions; Social Dynamics: Theory and Applications; Heterogeneous Agent Models in Economics and Finance; Agent-based Computational Finance; Agent-based Models of Innovation and Technological Change. Agent-Based Models of OrganizationsMarket Design Using Agent-Based Models; Automated Markets and Trading Agents; Computational Methods and Models of Politics; Governing Social-Ecological Systems; Computational Laboratories for Spatial Agent-Based Models; Out-of-Equilibrium Economics and Agent-Based Modeling; Agent-based Modeling as a Bridge Between Disciplines; Remarks on the Foundations of Agent-Based Generative So. "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." [source : site de l'éditeur] Handbook of computational economics. - v. 1
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