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Computational modeling of cognition and behavior

Computational modeling of cognition and behavior (1회 대출)

자료유형
단행본
개인저자
Farrell, Simon, 1976-. Lewandowsky, Stephan.
서명 / 저자사항
Computational modeling of cognition and behavior / Simon Farrell, Stephan Lewandowsky.
발행사항
Cambridge ;   New York, NY :   Cambridge University Press,   2018.  
형태사항
xxii, 461 p. : ill. ; 25 cm.
ISBN
9781107109995 (hardback) 9781107525610 (paperback)
서지주기
Includes bibliographical references (p. 427-454) and index.
일반주제명
Cognition --Mathematical models. Psychology --Mathematical models.
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020 ▼a 9781107109995 (hardback)
020 ▼a 9781107525610 (paperback)
035 ▼a (KERIS)REF000018438693
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
050 0 0 ▼a BF311 ▼b .F358 2018
082 0 0 ▼a 153.01/5118 ▼2 23
084 ▼a 153.015118 ▼2 DDCK
090 ▼a 153.015118 ▼b F245c
100 1 ▼a Farrell, Simon, ▼d 1976-.
245 1 0 ▼a Computational modeling of cognition and behavior / ▼c Simon Farrell, Stephan Lewandowsky.
260 ▼a Cambridge ; ▼a New York, NY : ▼b Cambridge University Press, ▼c 2018.
300 ▼a xxii, 461 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references (p. 427-454) and index.
650 0 ▼a Cognition ▼x Mathematical models.
650 0 ▼a Psychology ▼x Mathematical models.
700 1 ▼a Lewandowsky, Stephan.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 153.015118 F245c 등록번호 121253004 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Preface; Part I. Introduction to Modeling: 1. Introduction; 2. From words to models: building a toolkit; Part II. Parameter Estimation: 3. Basic parameter estimation techniques; 4. Maximum likelihood parameter estimation; 5. Combining information from multiple participants; 6. Bayesian parameter estimation: basic concepts; 7. Bayesian parameter estimation: Monte Carlo methods; 8. Bayesian parameter estimation: the JAGS language; 9. Multilevel or hierarchical modeling; Part III. Model Comparison: 10. Model comparison; 11. Bayesian model comparison using Bayes factors; Part IV. Models in Psychology: 12. Using models in psychology; 13. Neural network models; 14. Models of choice response time; 15. Models in neuroscience; Appendix A: Greek symbols; Appendix B: mathematical terminology; References; Index.

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