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9780125433402

Psychology of Learning and Motivation

by
  • ISBN13:

    9780125433402

  • ISBN10:

    0125433409

  • Format: Hardcover
  • Copyright: 2000-10-19
  • Publisher: Elsevier Science
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Supplemental Materials

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Summary

The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter provides a thoughtful integration of a body of work. Volume 40 includes in its coverage chapters on memory, categorization, implicit and explicit learning, and the effects of rewards and punishments on learning.

Table of Contents

Contributors ix
Different Organization of Concepts and Meaning Systems in the Two Cerebral Hemispheres
Dahlia W. Zaidel
Introduction
1(2)
Concepts, Schemes, and Categories in the Hemispheric Long-Term Memory
3(13)
Constraining Influences in the Interaction between Hemispheric Specialization and Long-Term Memory
16(1)
Possible Answers to the Biological Logic of Hemispheric Long-Term Memory
17(1)
Conclusions
18(5)
References
19(4)
The Causal Status Effect in Categorization: An Overview
Woo-kyoung Ahn
Nancy S. Kim
Different Approaches to Understanding Feature Centrality
23(4)
Causal Status Hypothesis: General Introduction
27(2)
Essentialism and the Causal Status Hypothesis
29(2)
Main Empirical Results Supporting the Causal Status Hypothesis
31(2)
Related Phenomena Accounted for by the Causal Status Hypothesis: Natural Kinds versus Artifacts
33(4)
Computational Modeling
37(1)
Moderating Factors
38(11)
Causal versus Isolated Features
49(3)
Application
52(5)
Other Types of Dependency Relations
57(4)
Conclusion
61(6)
References
61(6)
Remembering As a Social Process
Mary Susan Weldon
Introduction
67(1)
Arguments for the Social Nature of Memory
68(9)
How Can Remembering Be Studied as a Social Process?
77(14)
Collaborative Remembering and Collective Memory
91(24)
Conclusions
115(7)
References
116(6)
Neurocognitive Foundations of Human Memory
Ken A. Paller
What Evidence from Neuroscience Is Relevant for Understanding Cognition?
122(2)
The Natural Implementation of Declarative Memory
124(7)
Electrophysiological Measures of Recollection
131(6)
Electrophysiological Measures of Perceptual Priming
137(1)
Conclusions: Cognitive Neuroscience and Human Memory
138(9)
References
140(7)
Structural Influences on Implicit and Explicit Sequence Learning
Tim Curran
Michael D. Smith
Joseph M. DiFranco
Aaron T. Daggy
Introduction
147(2)
Group Differences Revealed by Structural Manipulations
149(13)
Effects of Reversal Frequency on Implicit and Explicit Sequence Learning (Experiments 3 to 5)
162(11)
General Discussion
173(5)
Conclusions
178(5)
References
178(5)
Recall Processes in Recognition Memory
Caren M. Rotello
Introduction
183(1)
Evidence on the Use of Recall in Recognition
184(2)
Evidence on the Specific Nature of the Recall Process
186(7)
Factors That Influence the Use of Recall Processes in Recognition
193(1)
Other Measures of Recall-to-Reject Processing
194(1)
The Receiver Operating Characteristic Curve
195(6)
Conjoint Recognition
201(3)
Experiment
204(8)
Conjoint Recognition Estimate of Recall-to-Reject Processing
212(4)
Familiarity-Based Explanations of the Data
216(1)
Conclusions
217(6)
References
218(5)
Reward Learning: Reinforcement, Incentives, and Expectations
Kent C. Berridge
Reinforcement Theories
223(11)
Bases of Modern Incentive Theory: Bolles-Bindra-Toates
234(5)
Consequences for the Incentive Model of Motivation and Reward
239(7)
Do Conditioned Incentive Stimuli Take on the Motivational Properties of Primary Incentive Stimuli?
246(6)
Splitting Pavlovian Incentives: ``Liking'' versus ``Wanting''
252(5)
From Pavlovian Incentives to Incentive Expectations: Dickinson-Balleine
257(7)
Brain Mechanisms of Reward Learning
264(7)
Conclusion
271(8)
References
272(7)
Spatial Diagrams: Key Instruments in the Toolbox for Thought
Laura R. Novick
The Toolbox for Thought
279(2)
The Importance of Selecting the Appropriate Representational Tools
281(1)
Spatial Diagram Tools
282(1)
Overview of the Chapter
282(3)
The Use of Exemplar Knowledge in Choosing Diagrmmatic Tools
285(5)
The Existence in Memory of Abstract Tool Schemas
290(6)
A Structural Analysis of the Three Spatial Diagram Tools
296(5)
Empirical Investigation of the Structural Analysis and Students' Diagram Knowledge
301(11)
The Structure of Students' Knowledge about the Three Spatial Diagrams
312(5)
Constructing Spatial Diagrams
317(1)
Discussion
318(9)
References
322(5)
Reinforcement and Punishment in the Prisoner's Dilemma Game
Howard Rachlin
Jay Brown
Forest Baker
Introduction
327(5)
Playing Card Paradigm (Single Trials)
332(4)
Playing Card Paradigm (Grouped Trials)
336(4)
Game Board Paradigm (Single Trials)
340(5)
Game Board Paradigm (Single Trials, Increased Reward for Cooperation)
345(2)
Game Board Paradigm (Patterned Trials)
347(1)
Computer Paradigm (Probability of Reciprocation, Spinners)
348(5)
Computer Paradigm (Probability of Reciprocation, No Spinners)
353(1)
Computer Paradigm (Probability of Reciprocation, Other Player)
354(2)
Computer Paradigm (Probability of Reinforcement and Punishment Varied Separately)
356(2)
Computer Paradigm (Tit-for-Tat versus Pavlov)
358(4)
Conclusions
362(3)
References
363(2)
Index 365(12)
Contents of Recent Volumes3 377

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