Adaptive information systems and modelling in economics and management science
(eBook)
Published:
Wien ; New York : Springer, [2005].
Format:
eBook
ISBN:
3211206841, 9783211206843, 9783211299012, 3211299017
Content Description:
1 online resource (276 pages) : illustrations.
Status:
Available Online
Description
"This title covers statistical models of heterogeneity, artifical consumer markets, models of adaptive expectation formulation in financial markets and agent-based models of industry evolution, product diversification and energy markets. The joint findings are presented in a manner that is both interesting for readers with a background in economics/management and mathematics and statistics in a way that allows also non-expert readers to grasp the ideas of modern management science. This book this provides a unique integrated toolbox for building realistic agent-based models of learning and adaptation in a variety of settings based on sound data analysis."--Jacket.
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LC Subjects
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Citations
APA Citation (style guide)
Taudes, A. (2005). Adaptive information systems and modelling in economics and management science. Wien ; New York, Springer.
Chicago / Turabian - Author Date Citation (style guide)Taudes, Alfred. 2005. Adaptive Information Systems and Modelling in Economics and Management Science. Wien ; New York, Springer.
Chicago / Turabian - Humanities Citation (style guide)Taudes, Alfred, Adaptive Information Systems and Modelling in Economics and Management Science. Wien ; New York, Springer, 2005.
MLA Citation (style guide)Taudes, Alfred. Adaptive Information Systems and Modelling in Economics and Management Science. Wien ; New York, Springer, 2005.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Language:
English
Notes
Bibliography
Includes bibliographical references.
Description
"This title covers statistical models of heterogeneity, artifical consumer markets, models of adaptive expectation formulation in financial markets and agent-based models of industry evolution, product diversification and energy markets. The joint findings are presented in a manner that is both interesting for readers with a background in economics/management and mathematics and statistics in a way that allows also non-expert readers to grasp the ideas of modern management science. This book this provides a unique integrated toolbox for building realistic agent-based models of learning and adaptation in a variety of settings based on sound data analysis."--Jacket.
Staff View
Grouped Work ID:
99fee2ce-1a46-9a41-4138-55a6198d5ce2
Record Information
| Last Sierra Extract Time | Mar 06, 2024 02:38:46 AM |
|---|---|
| Last File Modification Time | Mar 06, 2024 02:39:00 AM |
| Last Grouped Work Modification Time | Mar 06, 2024 02:38:53 AM |
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