Control theory for humans :quantitative approaches to modeling performance
- 作者: Jagacinski, Richard J.
- 其他作者: Flach, John.
- 出版: Mahwah, N.J. : L. Erlbaum Associates 2003.
- 稽核項: 1 online resource (xiv, 379 pages) :illustrations.
- 標題: Cognitive Psychology. , Control theory. , Behavioral Research. , SCIENCE , Human behavior. , Human information processing. , Operations research. , SCIENCE Cognitive Science. , Models, Theoretical. , Information Theory. , Electronic books. , Information theory. , Cognitive Science. , Mental Processes. , PSYCHOLOGY Cognitive Psychology. , Operations Research. , Perception. , PSYCHOLOGY
- ISBN: 1410606767 , 9781410606761
- 試查全文@TNUA:
- 附註: Includes bibliographical references and indexes. Chapter 1 Perception/Action: A Systems Approach -- chapter 2 Closing the Loop -- chapter 3 Information Theory and Fitts' Law -- chapter 4 The Step Response: First-Order Lag -- chapter 5 Linear Systems: Block Diagrams and Laplace Transforms -- chapter 6 The Step Response: Second-Order System -- chapter 7 Nonproportional Control -- chapter 8 Interactions Between Information and Dynamic Constraints -- chapter 9 Order of Control -- chapter 10 Tracking -- chapter 11 There Must Be 50 Ways to See a Sine Wave -- chapter 12 A Qualitative Look at Fourier Analysis -- chapter 13 The Frequency Domain: Bode Analysis -- chapter 14 The Frequency Domain: Describing the Human Operator -- chapter 15 Additional Adaptive Aspects of the Crossover Model -- chapter 16 Driving Around in Circles -- chapter 17 Continuous Tracking: Optimal Control -- chapter 18 Estimating and Predicting the State of a Dynamic System With Lag-Like Calculations -- chapter 19 Varieties of Variability -- chapter 20 Lifting a Glass of Juice -- chapter 21 Sine Wave Tracking Is Predictably Attractive -- chapter 22 Going with the Flow: An Optical Basis for the Control of Locomotion -- chapter 23 Fuzzy Approaches to Vehicular Control -- chapter 24 Learning to Control Difficult Systems: Neural Nets -- chapter 25 Some Parallels Between Decision Making and Manual Control -- chapter 26 Designing Experiments with Control Theory in Mind -- chapter 27 Adaptation and Design.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=79437
- 系統號: 005301034
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
This textbook provides a tutorial introduction to behavioral applications of control theory. Control theory describes the information one should be sensitive to and the pattern of influence that one should exert on a dynamic system in order to achieve a goal. As such, it is applicable to various forms of dynamic behavior. The book primarily deals with manual control (e.g., moving the cursor on a computer screen, lifting an object, hitting a ball, driving a car), both as a substantive area of study and as a useful perspective for approaching control theory. It is the experience of the authors that by imagining themselves as part of a manual control system, students are better able to learn numerous concepts in this field. Topics include varieties of control theory, such as classical, optimal, fuzzy, adaptive, and learning control, as well as perception and decision making in dynamic contexts. The authors also discuss implications of control theory for how experiments can be conducted in the behavioral sciences. In each of these areas they have provided brief essays intended to convey key concepts that enable the reader to more easily pursue additional readings. Behavioral scientists teaching control courses will be very interested in this book.
來源: Google Book
來源: Google Book
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