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Modeling Complexity in Economic and Social Systems Frank Schweitzer 2002 HC NEW

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eBay item number:194213575773
Last updated on Jul 09, 2022 02:05:22 SGTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Country/Region of Manufacture
Singapore
Subject Area
Social System, Economic Sociology
Series
World Scientific
Educational Level
Adult & Further Education
Features
Dust Jacket
Subject
Economics
ISBN
9789812380340
EAN
9789812380340

About this product

Product Identifiers

Publisher
World Industries Scientific Publishing Co Pte LTD
ISBN-10
9812380345
ISBN-13
9789812380340
eBay Product ID (ePID)
2261650

Product Key Features

Number of Pages
404 Pages
Language
English
Publication Name
Modeling Complexity in Economic and Social Systems
Publication Year
2002
Subject
Chaotic Behavior in Systems, Economics / General, Econometrics, Desktop Applications / Personal Finance Applications
Type
Textbook
Subject Area
Computers, Science, Business & Economics
Author
Frank Schweitzer
Format
Hardcover

Dimensions

Item Weight
28.8 Oz

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2003-271279
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
330/.01/51
Synopsis
Economics and the social sciences are, in fact, the "hard" sciences, as Herbert Simon argued, because the complexity of the problems dealt with cannot simply be reduced to analytically solvable models or decomposed into separate subprocesses. Nevertheless, in recent years, the emerging interdisciplinary "sciences of complexity" have provided new methods and tools for tackling these problems, ranging from complex data analysis to sophisticated computer simulations. In particular, advanced methods developed in the natural sciences have recently also been applied to social and economic problems.The twenty-one chapters of this book reflect this modern development from various modeling perspectives (such as agent-based models, evolutionary game theory, reinforcement learning and neural network techniques, time series analysis, non-equilibrium macroscopic dynamics) and for a broad range of socio-economic applications (market dynamics, technological evolution, spatial dynamics and economic growth, decision processes, and agent societies). They jointly demonstrate a shift of perspective in economics and the social sciences that is allowing a new outlook in this field to emerge.
LC Classification Number
HB135.M647 2002

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