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Computational Modeling (96 Edition)

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Computational Modeling (96 Edition) Cover

 

Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Synopsis:

Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model.

After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples.

Table of Contents

Introduction: Beyond platforms and on-ramps. Models and computational models. Why model computationally? Where is computational modeling likely to be most useful? Drawbacks of computational modeling. General stages in a computational modeling project. An overview of the following chapters — Dynamic simulation models: Dynamic simulation. Cellular automata — Knowledge-based systems: Semantic networks. Frame systems. Rule-based expert systems. Hybrid systems. — Models of machine learning: Connectionist models. ID3. Genetic algorithms — Evaluating computational models: Truth. Beauty. Justice. Conclusion.

Product Details

ISBN:
9780803972704
Author:
Taber, Charles S.
Publisher:
Sage Publications, Inc
Editor:
Timpone, Richard John
Author:
Timpone, Richard J.
Author:
Taber, Charles S.
Location:
Thousand Oaks, Calif. :
Subject:
Research
Subject:
Social sciences
Subject:
Mathematical models
Subject:
Computer simulation
Subject:
Social sciences -- Data processing.
Subject:
Social sciences -- Mathematical models.
Subject:
Computers Reference-Simulation
Edition Description:
Includes bibliographical references p. 89-93.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
113
Publication Date:
19960331
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
104
Dimensions:
8.42x5.40x.26 in. .29 lbs.

Related Subjects

Computers and Internet » Computers Reference » Computer Simulation
History and Social Science » Politics » United States » Politics
History and Social Science » Sociology » Reference and Methodology
Science and Mathematics » Mathematics » Modeling
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Computational Modeling (96 Edition) Used Trade Paper
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Product details 104 pages Sage Publications - English 9780803972704 Reviews:
"Synopsis" by , Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model.

After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples.

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