The psychology of learning and motivation. Volume sixty five /

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 thoughtfully integrates the writings of leading contributors, w...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Ross, Brian H. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Academic Press, [2016]
Edición:First edition.
Colección:Psychology of learning and motivation ; Volume 65.
Temas:
Learning, Psychology of.
Motivation (Psychology)
Motivation
Psychologie de l'apprentissage.
Motivation (Psychologie)
PSYCHOLOGY / Cognitive Psychology
SCIENCE / Cognitive Science
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; The Psychology of Learning and Motivation; Series Editor; The Psychology of Learning and Motivation ; Copyright; Contents; CONTRIBUTORS; One
  • The Many Facets of Individual Differences in Working Memory Capacity ; 1. INTRODUCTION; 2. IMPORTANCE OF WORKING MEMORY; 3. A THEORETICAL FRAMEWORK FOR WORKING MEMORY CAPACITY; 4. MULTIPLE FACETS INFLUENCE INDIVIDUAL DIFFERENCES IN WORKING MEMORY CAPACITY; 4.1 Capacity of Primary Memory; 4.2 Attention Control; 4.3 Secondary Memory; 5. MEASUREMENT OF WORKING MEMORY CAPACITY; 6. HETEROGENEITY OF WORKING MEMORY CAPACITY LIMITATIONS
  • 7. CONCLUSIONSREFERENCES; Two
  • An Exemplar-Retrieval Model of Short-term Memory Search: Linking Categorization and Probe Recognition ; 1. INTRODUCTION AND BACKGROUND; 1.1 Introduction; 1.2 Background; 2. THE "CORE" VERSION OF THE FORMAL MODEL; 3. SHORT-TERM PROBE RECOGNITION IN A CONTINUOUS-DIMENSION SIMILARITY SPACE; 4. SHORT-TERM PROBE RECOGNITION OF DISCRETE STIMULI; 5. A POWER LAW OF MEMORY STRENGTH; 6. BRIDGING SHORT-TERM AND LONG-TERM PROBE RECOGNITION AND INCORPORATING THE ROLE OF PREVIOUS MEMORY SETS; 6.1 Review of Empirical Findings
  • 6.2 The Extended EBRW Model: Conceptual Description6.3 The Extended EBRW Model: Formal Description; 6.4 Modeling Application; 7. EVIDENCE FOR A JOINT ROLE OF CATEGORIZATION AND FAMILIARITY PROCESSES; 8. SUMMARY AND CONCLUSIONS; ACKNOWLEDGMENTS; REFERENCES; Three
  • Hybrid Causal Representations ; 1. INTRODUCTION; 2. FRAMEWORKS OF CAUSAL REASONING; 2.1 The Dependency Framework; 2.2 The Disposition Framework; 2.3 The Process Framework; 3. HYBRID CAUSAL REPRESENTATIONS; 3.1 Unitary Versus Pluralistic Causal Theories; 3.2 Hybrid Accounts; 4. CASE STUDIES
  • 4.1 Study 1: The Interaction of Dispositional Intuitions and Dependency Representations-Markov Violations as a Test Case4.1.1 Agents and Causes; 4.1.2 Agency, Accountability, and Error Attribution; 4.1.3 A Bayes Net Account of Error Attribution; 4.1.4 Markov Violations as a Test Case; 4.1.5 Alternative Theories; 4.2 Study 2: Mutual Constraints Between Dispositional Intuitions and Dependency Knowledge; 4.2.1 Probabilistic Force Model; 4.2.2 Experiment; 4.3 Study 3: Dependencies, Processes, and Dispositions: The Michotte Task; 5. CONCLUSION; ACKNOWLEDGMENT; REFERENCES
  • Four
  • Increased Wisdom From the Ashes of Ignorance and Surprise: Numerically-Driven Inferencing, Global Warming, a ... 1. LEARNING, WISDOM, AND IGNORANCE; 2. GAUGING ONE'S NUMERICAL KNOWLEDGE/IGNORANCE BOUNDARIES; 3. GAUGING ONE'S MECHANISTIC KNOWLEDGE/IGNORANCE BOUNDARIES; 4. (ESPECIALLY SURPRISING) NUMERICAL AND MECHANISTIC INFORMATION CAN CHANGE MINDS; 5. EXPLANATORY COHERENCE AND NUMERICALLY DRIVEN INFERENCING; 6. NUMERICAL AND MECHANISTIC CO-INFLUENCES: GRAPHS AND STATISTICS IMPLYING CAUSALITY; 7. USING NDI CURRICULA TO IMPROVE PEOPLE'S ANALYTIC ABILITIES

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