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020 a| 0803972709 (pbk. : acid-free paper);

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100 1 a| Taber, Charles S.=| ^A379434;

245 10 a| Computational modelingh| [electronic resource] /c| Charles S. Taber, Richard J. Timpone.;

260 a| Thousand Oaks, Calif. :b| Sage Publications,;

300 a| viii, 95 p. :b| ill. ;c| 22 cm.;

440 0 a| Sage university papers series.p| Quantitative applications in the social sciences ;v| no. 07-113;

504 a| Includes bibliographical references (p. 89-93).;

505 0 a| 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.;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Social sciencesx| Mathematical models.=| ^A605575;

650 0 a| Social sciencesx| Data processing.=| ^A23211;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Timpone, Richard J.=| ^A379435;

856 40 z| Full text available from SAGE Research Methods Coreu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fmethods.sagepub.com%2Fbook%2Fmono%2Fcomputational-modeling%2Ftoc;

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Computational modeling / Charles S. Taber, Richard J. Timpone.

Author/creator	Taber, Charles S.
Other author	Timpone, Richard J.
Format	Electronic
Publication Info	Thousand Oaks, Calif. : Sage Publications,
Description	viii, 95 p. : ill. ; 22 cm.
Supplemental Content	Full text available from SAGE Research Methods Core
Subjects	Social sciences--Mathematical models. Social sciences--Data processing.

Series	Sage university papers series. Quantitative applications in the social sciences ; no. 07-113
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.
Bibliography note	Includes bibliographical references (p. 89-93).
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	95050246
ISBN	0803972709 (pbk. : acid-free paper)

Computational modeling / Charles S. Taber, Richard J. Timpone.

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