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Towards a Theory of Thinking - Building Blocks for a Conceptual Framework
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Towards a Theory of Thinking - Building Blocks for a Conceptual Framework
von: Britt Glatzeder, Vinod Goel, Albrecht von Müller
Springer-Verlag, 2010
ISBN: 9783642031298
405 Seiten, Download: 8717 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  0001085370.pdf 1  
     Anchor 1 5  
     Towards a Theory of Thinking 8  
        Structure of the Book 10  
        Part I: Perspectives on Thinking 10  
        Part II: Components of Thinking 11  
        Part III: Onto- and Phylogenetic Aspects 13  
        Part IV: Language, Emotion, Culture 15  
        Part V: Modeling and Neurobiological Approaches 17  
  0001087460.pdf 26  
     Chapter 1 1  
  0001085342.pdf 27  
     Problem Solving 27  
        1 Introduction 28  
        2 The Gestaltist Perspective 28  
        3 Information Processing Theory and the Problem Space Hypothesis 33  
        4 Challenge: Well-Structured Versus Ill-Structured Problems 36  
        5 Challenge: Insight Problem Solving 39  
           5.1 Definition of Insight 39  
           5.2 Nothing Special Account 40  
           5.3 Representational Change 41  
           5.4 An Integrative Perspective 42  
        6 Closing Remarks 43  
        References 43  
  0001085343.pdf 46  
     Heuristic Bias, Conflict, and Rationality in Decision-Making 46  
        1 Introduction 46  
        2 Conflict Detection Studies 48  
           2.1 To Detect or Not to Detect? 48  
           2.2 To the Brain and Beyond 51  
           2.3 The Effortless Nature of Conflict Detection 52  
        3 Implications for the Rationality Debate 53  
        4 Caveats and Conclusion 54  
        References 55  
  0001085344.pdf 57  
     Analogical Processes in Human Thinking and Learning 57  
        1 Introduction 57  
        2 Analogical Processes 58  
           2.1 Mapping 58  
           2.2 Structural Alignment in Similarity and Analogy 60  
           2.3 Systematicity 62  
           2.4 Evaluation 63  
        3 Learning 63  
           3.1 Schema Abstraction 64  
           3.2 Re-representation 65  
        4 Analogical Retrieval 66  
        5 Concluding Remarks 68  
        References 68  
  0001085345.pdf 71  
     A Gestalt Perspective on the Psychology of Thinking 71  
        1 Introduction 71  
        2 Some Basic Concepts in Gestalt Theory 72  
        3 Some Historical Background on Gestalt Theory 74  
        4 The Gestalt Approach to Thinking 75  
        5 Concluding Thoughts on the Gestalt Approach to Thinking 78  
        References 79  
  0001085346.pdf 81  
     Thought and Reality 81  
        1 Introduction 81  
        2 A Brief Summary of a Novel Account of Time and Reality 83  
        3 Human Thinking as an Adaptation to a Janus-Headed Reality 86  
        References 92  
  0001087251.pdf 93  
  0001085347.pdf 94  
     Categorization and Object Shape 94  
        1 Introduction 94  
        2 Form and Space 97  
        3 Recognition and Categorization Performance Depend on Spatial Transformations 104  
        4 Integrative Transformational Framework of Recognition and Categorization 110  
        5 Open Questions and Outlook 113  
        References 115  
  0001085348.pdf 123  
     Comparison 123  
        1 Introduction 123  
        2 Models of Similarity 125  
           2.1 Geometric Models and Multidimensional Scaling 126  
           2.2 Featural Models 128  
           2.3 Similarities Between Geometric and Feature-Based Models 130  
           2.4 Alignment-Based Models 132  
           2.5 Transformational Models 135  
        3 Conclusions 136  
        References 137  
  0001085349.pdf 142  
     Causal Thinking 142  
        1 Introduction 142  
        2 Causal-Model Theory: Beyond Covariations 143  
           2.1 Sensitivity to the Asymmetry of Causes and Effects 144  
           2.2 Predicting Outcomes of Hypothetical Observations Versus Hypothetical Interventions 146  
              2.2.1 Causal Reasoning in Nonhuman Animals 148  
           2.3 Estimating Causal Parameters 149  
           2.4 Limitations of Causal Reasoning 150  
        3 Inducing Causal Structures 150  
        4 Conclusion 151  
        References 152  
  0001085350.pdf 154  
     Conditionals: Their Meaning and Their use in Reasoning 154  
        1 Introduction 154  
        2 The Meaning of Conditionals 155  
           2.1 Mental Models 155  
           2.2 The Evidence 158  
        3 Inferences from Conditionals 159  
           3.1 Mental Models 160  
           3.2 The Probabilistic View 161  
           3.3 The Evidence: Reasoning from Conditionals 163  
              3.3.1 Patterns of Inference Endorsement 163  
              3.3.2 Content Effects 164  
        4 Conclusion 164  
        References 164  
  0001085351.pdf 166  
     Thinking and Memory 166  
        1 Introduction 166  
        2 Definitions and Classifications of Memory 167  
        3 Brain Structures Involved in Episodic Memory: A Brief Summary 170  
        4 The Association Between Thinking and Memory in Brain Damaged Patients 173  
        5 The Association Between Thinking and Memory in Neuroimaging Investigations 174  
        6 General Considerations 175  
        References 176  
  0001085352.pdf 180  
     Perception and the Brain 180  
        1 Introduction 181  
        2 Binocular Rivalry Experiments 181  
        3 Extracellular Recording in the Visual Cortex 183  
        4 Rivalry Related Tasks 190  
        5 Things We Learn and Things We Do Not Learn 191  
        6 Conclusion 193  
        References 194  
  0001087248.pdf 195  
  0001085353.pdf 196  
     A Developmental Perspective on Modularity 196  
        1 Introduction 196  
        2 Modularity, Evolution and Development 197  
        3 Gradual Developmental Process of Modularisation 198  
        4 A Concrete Example of Progressive Modularisation: Face Processing in Typically and Atypically Developing Populations 200  
        5 Concluding Thoughts 201  
        References 202  
  0001085354.pdf 205  
     Theory of Mind 205  
        1 Introduction 205  
        2 Development of a Theory of Mind 206  
        3 Theories 208  
        4 Neural Correlates 209  
        5 Theory of Mind and Language 210  
        6 Theory of Mind in Other Species and Robots 211  
        References 213  
  0001085355.pdf 218  
     The Development of Metacognitive Competencies 218  
        1 Introduction 218  
        2 Classic Research on the Development of Metamemory 220  
           2.1 Declarative Metamemory 220  
           2.2 Procedural Metamemory 220  
           2.3 Metamemory–Memory Relations 221  
        3 Development of Metacognitive Knowledge and “Theory of Mind” 221  
           3.1 Assessment of Children’s “Theory-of-Mind” 222  
           3.2 Links Between Theory of Mind and Metacognitive Knowledge 222  
        4 New Evidence Concerning Metacognitive Development in Childhood and Adolescence 223  
           4.1 The Development of Self-Monitoring and Self-Control 224  
           4.2 Monitoring Skills in Children 224  
           4.3 The Relation Between Monitoring and Control Processes in Children 225  
        5 The Importance of Metacognition for Education 226  
        References 227  
  0001085356.pdf 230  
     Understanding Apes to Understand Humans: The Case of Object–Object Relations 230  
        1 Introduction 230  
        2 Why Study Animal Cognition? 231  
        3 Comparing Human and Animal Cognition 232  
        4 Object–Object Relations and Causal Knowledge 234  
           4.1 Inferential Reasoning 234  
           4.2 Two Additional Domains: Weight and Support 236  
           4.3 Tool-Use 238  
        5 The Nature of Causal and Arbitrary Relations 240  
           5.1 On the Epigenesis of Causal Relations 241  
        6 Conclusion and Future Directions 243  
        References 243  
  0001087249.pdf 246  
  0001085357.pdf 247  
     Socializing Cognition 247  
        1 Distributing Cognition Across People and the World 248  
           1.1 Distributed Representations 248  
           1.2 Coupled Systems 249  
        2 Emerging Cognition: Social Brains and Social Norms 251  
           2.1 Evolutionary Approaches 251  
           2.2 Cultural Approaches 252  
        3 Aligning Cognition: Joint Control of Perception–Action Links 253  
           3.1 Ideomotor Theories and the Mirror System 253  
              3.1.1 Mimicry 254  
              3.1.2 Imitation 255  
           3.2 Joint Action 256  
              3.2.1 Co-representation 256  
              3.2.2 Coordination 257  
        4 Conclusion and Outlook 258  
        References 260  
  0001085358.pdf 265  
     Thinking and Language 265  
        1 Semiotic Bridges 265  
        2 Levels of Language Structure 267  
        3 Five Logophonic Pillars 268  
        4 Language and Culture 272  
        References 273  
  0001085359.pdf 274  
     Thinking and Emotion: Affective Modulation of Cognitive Processing Modes 274  
        1 Introduction 275  
        2 Antagonistic Adaptive Functions and Complementary Modes of Thinking 276  
        3 Theoretical Views on the Affective Modulation of Cognitive Processes 277  
        4 Selective Review of Evidence for the Affective Modulation of Complementary Modes of Thinking 278  
           4.1 Affective Modulation of Creative Problem Solving and Generative Thought 279  
           4.2 Affective Modulation of Semantic Associations 280  
           4.3 Affective Modulation of the Scope of Selective Attention 282  
           4.4 Affective Modulation of Cognitive Control 283  
        5 Conclusions and Open Questions 285  
        References 287  
  0001085360.pdf 291  
     Cultural Differences in Thinking Styles 291  
        1 Introduction 291  
        2 Cultural Differences in Perceptual and Attentional Processing 292  
        3 Neural Basis of Cultural Specific Cognitive Styles 296  
        4 Conclusion 299  
        References 300  
  0001087250.pdf 301  
  0001085361.pdf 302  
     Natural Selection in the Brain 302  
        1 Introduction 303  
        2 How Could Neuronal Natural Selection Work? 306  
           2.1 Synapses 307  
           2.2 Groups of Synapses 310  
           2.3 Patterns of Bistable Neuronal Activity 314  
        3 Natural Selection in Comparison with Other (Neuronal) Stochastic Search Algorithms 317  
           3.1 Neuronal Selectionism 317  
           3.2 Reinforcement Learning Algorithms 320  
           3.3 Other Action Selection Approaches 321  
        4 How is an Initial Population of Neuronal Representations Chosen? 322  
        5 On What Basis Are Neuronal Replicators Selected? 322  
        6 How Can Variability Be Structured? 323  
        7 Cognitive Roles for Neuronal Replicators 325  
           7.1 Causal Inference by Topology Copying 325  
           7.2 Heuristic Search in Insight Problems and Working Memory Tasks 326  
           7.3 Memory Consolidation 327  
        8 Conclusions 328  
        Acknowledgement 328  
        References 328  
  0001085362.pdf 334  
     Value and Self-Referential Control: Necessary Ingredients for the Autonomous Development of Flexible Intelligence 334  
        1 Introduction 334  
        2 Value and Self-Referential Control 336  
           2.1 Elements of Innate Knowledge 337  
           2.2 Self-Organization of Acquired Knowledge 339  
           2.3 Active Exploration, Expectation and Surprise 341  
           2.4 Self-Referential Control 342  
        3 Conclusions 343  
        References 344  
  0001085363.pdf 347  
     Cortical Connectivity: The Infrastructure of Thoughts 347  
        1 Thinking: The Associational Nature of Thinking 347  
        2 Neuronal Assemblies: An Operational Definition 348  
        3 Cortico–Cortical Connections: Axonal Geometries 349  
        4 Physiological Analysis of a Visual, Bihemispheric Neuronal Assembly: The Role of Axonal Geometries 350  
        5 Implications of Principles of Brain Organization for Thinking: Cortico–Cortical Connections May Constrain and Channel Bot 352  
        References 354  
  0001085364.pdf 357  
     Models as Tools to Aid Thinking 357  
        1 Introduction 357  
        2 Models and Thinking Economy: What Models Can Do for Us 358  
        3 Major Dimensions of Modeling 360  
        4 Modeling and Feature Selection 361  
           4.1 The Power of Mappings 362  
           4.2 Linear Versus Nonlinear Models 364  
        5 Beyond Mappings: Dynamical Systems 366  
        6 Some Examples of Dynamical systems 368  
        7 From Deterministic to Stochastic Models 371  
        8 Coping with Uncertainty 372  
        9 Optimal Inference 373  
        10 From Modeling to Bayesian Learning 375  
        11 Maximum Likelihood Principle 376  
        12 Learning, Optimization and Risk Minimization 377  
        13 Bias, Complexity, and Generalization 378  
        14 Limits of Modeling 380  
        15 Concluding Remarks 382  
        References 383  


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