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Dynamical cognitive science / Lawrence M. Ward.
- Format:
- Book
- Author/Creator:
- Ward, Lawrence M.
- Language:
- English
- Subjects (All):
- Cognitive science.
- Change (Psychology).
- Time--Psychological aspects.
- Time.
- Physical Description:
- 1 online resource (xv, 355 p. ) ill. ;
- Place of Publication:
- Cambridge, Mass. : MIT Press, ©2002.
- Language Note:
- English
- Summary:
- Dynamical Cognitive Science makes available to the cognitive science community the analytical tools and techniques of dynamical systems science, adding the variables of change and time to the study of human cognition. The unifying theme is that human behavior is an "unfolding in time" whose study should be augmented by the application of time-sensitive tools from disciplines such as physics, mathematics, and economics, where change over time is of central importance. The book provides a fast-paced, comprehensive introduction to the application of dynamical systems science to the cognitive sciences. Topics include linear and nonlinear time series analysis, chaos theory, complexity theory, relaxation oscillators, and metatheoretical issues of modeling and theory building. Tools and techniques are discussed in the context of their application to basic cognitive science problems, including perception, memory, psychophysics, judgment and decision making, and consciousness. The final chapter summarizes the contemporary study of consciousness and suggests how dynamical approaches to cognitive science can help to advance our understanding of this central concept.
- Contents:
- Magic, Ritual, and Dynamics
- Magic and Ritual
- Dynamics
- Sequence
- The Serial Universe
- The Problem of Serial Order in Behavior
- Markovian Analysis of Behavior
- Rhythms of Behavior
- The Dance of Life
- Music and Rhythm
- Rhythms in the Brain
- Time
- Space-Time
- The Arrow of Time
- Measuring Time
- Cognitive Processes and Time
- Temporal Unfolding of Cognitive Behavior
- Timing of Cognitive Behavior
- Memory
- Systems and General Systems Theory
- Systems
- General Systems Theory
- Dynamical Systems Theory
- Science and Theory
- The Mandala of Science
- Formal Theories
- Principle of Complementarity
- Dynamical versus Statical Models
- Theories, Models, and Data
- Statical Models
- Dynamical Models
- Why We Need Both Statical and Dynamical Models
- Dynamical and Structural Models
- Structural Models
- Graph Theory
- Interplay between Dynamical and Structural Models
- Deterministic versus Stochastic Dynamical Models
- Deterministic Models
- Stochastic Models
- Do We Need Both?
- Linear Time Series Analysis
- Time Series and Noise
- ARIMA (p, d, q)
- ARIMA Model of Time Estimation
- Mixed Regression-ARIMA Model of Psychophysical Judgment
- Probability Theory and Stochastic Models
- Dynamical Cognitive Science and Mathematics
- Stochastic Processes: A Random Walk to Ruin
- Critical Points in Stochastic Models
- Ergodicity and the Markov Property
- Stochastic Models in Physics
- The Master Equation
- Quantum Physics
- Complementarity Redux
- Noise.
- Notes:
- Includes bibliographical references (pages [325]-347) and index.
- "A Bradford book."
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 0-262-28579-7
- 0-585-43665-7
- OCLC:
- 51991386
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