How the body shapes the way we think: a new view of intelligence
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. [u.a.]
MIT Press
2007
|
| Schriftenreihe: | A Bradford book
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references (p. [375]-388) and index |
| Beschreibung: | XXIV, 394 S. Ill. |
| ISBN: | 0262162393 9780262162395 |
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| 245 | 1 | 0 | |a How the body shapes the way we think |b a new view of intelligence |c Rolf Pfeifer and Josh Bongard |
| 264 | 1 | |a Cambridge, Mass. [u.a.] |b MIT Press |c 2007 | |
| 300 | |a XXIV, 394 S. |b Ill. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a A Bradford book | |
| 500 | |a Includes bibliographical references (p. [375]-388) and index | ||
| 650 | 7 | |a Cognitiewetenschap |2 gtt | |
| 650 | 7 | |a Intelligentie |2 gtt | |
| 650 | 7 | |a Kunstmatige intelligentie |2 gtt | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Cognitive science | |
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Datensatz im Suchindex
| _version_ | 1804136445913333760 |
|---|---|
| adam_text | Contents
Foreword by Rodney Brooks xiii
Preface xvii
I Intelligence, Artificial Intelligence, Embodiment, and What the Book Is
About 1
1 Intelligence, Thinking, and Artificial Intelligence 5
1.1 Thinking, Cognition, and Intelligence 7
1.2 The Mystery of Intelligence 11
1.3 Defining Intelligence 14
1.4 Artificial Intelligence 17
1.5 Embodiment and Its Implications 18
1.6 Summary 22
2 Artificial Intelligence: The Landscape 25
2.1 Successes of the Classical Approach 27
2.2 Problems of the Classical Approach 30
2.3 The Embodied Turn 34
2.4 The Role of Neuroscience 37
2.5 Diversification 39
2.6 Biorobotics 41
2.7 Developmental Robotics 44
2.8 Ubiquitous Computing and Interfacing Technology 47
2.9 Artificial Life and Multiagent Systems 49
2.10 Evolutionary Robotics 53
2.11 Summary 54
viii Contents
II Toward a Theory of Intelligence 57
3 Prerequisites for a Theory of Intelligence 61
3.1 Level of Generality and Form of Theory 62
3.2 Diversity Compliance 67
3.3 Frame of Reference 72
3.4 The Synthetic Methodology 77
3.5 Time Perspectives 82
3.6 Emergence 85
3.7 Summary 88
4 Intelligent Systems: Properties and Principles 89
4.1 Real Worlds and Virtual Worlds 90
4.2 Properties of Complete Agents 95
4.3 Agent Design Principle 1: The Three Constituents
Principle 100
4.4 Agent Design Principle 2: The Complete Agent
Principle 104
4.5 Agent Design Principle 3: Cheap Design 107
4.6 Agent Design Principle 4: Redundancy 113
4.7 Agent Design Principle 5: Sensory Motor
Coordination 117
4.8 Agent Design Principle 6: Ecological Balance 123
4.9 Agent Design Principle 7: Parallel, Loosely Coupled
Processes 134
4.10 Agent Design Principle 8: Value 137
4.11 Summary and Conclusions 140
5 Development: From Locomotion to Cognition 141
5.1 Motivation 143
5.2 Toward Developmental Robot Design 145
5.3 From Locomotion to Cognition: A Case Study 149
5.4 From Gait Patterns to Body Image to Cognition 153
5.5 The Symbol Grounding Problem 159
5.6 Matching Brain and Body Dynamics 161
5.7 Broadening the Scope: Other Aspects of Development 164
5.8 Learning in Embodied Systems 168
5.9 Social Interaction 170
5.10 Development: Where Are We and Where Do We Go from
Here? 173
Contents ix
5.11 Summary: Design Principles for Developmental
Systems 175
6 Evolution: Cognition from Scratch 177
6.1 Motivation 181
6.2 The Basics of Evolutionary Computation 184
6.3 The Origins of Evolutionary Computation 187
6.4 Artificial Evolution in the Real World: On Pipes, Antennas,
and Electronic Circuits 189
6.5 Evolutionary Robotics 192
6.6 Evolving Morphology and Control 194
6.7 Genetic Regulatory Networks and Developmental
Plasticity 196
6.8 Self Organization: The Powerful Ally of Mutation and
Selection 204
6.9 Artificial Evolution: Where Are We and Where Do We Go
from Here? 206
6.10 Summary: Design Principles for Evolutionary Systems 208
7 Collective Intelligence: Cognition from Interaction 213
7.1 Motivation 215
7.2 Agent Based Modeling 217
7.3 Simulation versus Real Robots 221
7.4 Groups of Robots 222
7.5 A Note on Cooperation 226
7.6 Modular Robots 228
7.7 Scalability, Self Assembly, Self Repair, Homogeneity, and
Heterogeneity 232
7.8 Self Reproducing Machines 235
7.9 Collective Intelligence: Where Are We and Where Do We
Go from Here? 238
7.10 Summary: Design Principles for Collective Systems 241
III Applications and Case Studies 245
8 Ubiquitous Computing and Interfacing Technology 249
8.1 Ubiquitous Technology as Scaffolding 251
8.2 Ubiquitous Technology: Properties and Principles 253
8.3 Interacting with Ubiquitous Technology 263
x Contents
8.4 Cyborgs 264
8.5 Summary and Conclusions 270
9 Building Intelligent Companies 271
9.1 Management and Entrepreneurship: Decision and Action
under Uncertainty 272
9.2 Companies as Embodied Systems 274
9.3 A Synthetic Approach to Management 279
9.4 Design Principles for Building Intelligent Companies 282
9.5 Corroborating the Speculations 293
9.6 Summary and Conclusions 294
10 Where Is Human Memory? 295
10.1 Introduction 298
10.2 The Storehouse Metaphor and Its Problems 300
10.3 Concepts of Memory 302
10.4 The Frame of Reference Problem in Memory Research:
Ashby s Proposal 304
10.5 The Embodied View of Memory: Applying the Design
Principles for Intelligent Systems 307
10.6 Implications for Memory Research: Summary and
Speculations 318
11 Robotic Technology in Everyday Life 323
11.1 Introduction: Everyday Robots 324
11.2 Vacuum Cleaners: Roomba, Trilobite, and Similar
Species 327
11.3 Entertainment Robots 328
11.4 Therapeutic, Medical, and Rescue Robots 333
11.5 Humanoid Companion Robots 335
11.6 Robots Capable of Social Communication 341
11.7 Robots Capable of Facial and Bodily Expression 344
11.8 A Theoretical Note 346
11.9 Summary and Conclusions 348
IV Principles and Insights 351
12 How the Body Shapes the Way We Think 353
12.1 Steps Toward a Theory of Intelligence 354
12.2 Selected Highlights 358
Contents xi
12.3 Seeing Things Differently 367
12.4 Epilogue 370
Notes 373
References 375
Index 389
|
| adam_txt |
Contents
Foreword by Rodney Brooks xiii
Preface xvii
I Intelligence, Artificial Intelligence, Embodiment, and What the Book Is
About 1
1 Intelligence, Thinking, and Artificial Intelligence 5
1.1 Thinking, Cognition, and Intelligence 7
1.2 The Mystery of Intelligence 11
1.3 Defining Intelligence 14
1.4 Artificial Intelligence 17
1.5 Embodiment and Its Implications 18
1.6 Summary 22
2 Artificial Intelligence: The Landscape 25
2.1 Successes of the Classical Approach 27
2.2 Problems of the Classical Approach 30
2.3 The Embodied Turn 34
2.4 The Role of Neuroscience 37
2.5 Diversification 39
2.6 Biorobotics 41
2.7 Developmental Robotics 44
2.8 Ubiquitous Computing and Interfacing Technology 47
2.9 Artificial Life and Multiagent Systems 49
2.10 Evolutionary Robotics 53
2.11 Summary 54
viii Contents
II Toward a Theory of Intelligence 57
3 Prerequisites for a Theory of Intelligence 61
3.1 Level of Generality and Form of Theory 62
3.2 Diversity Compliance 67
3.3 Frame of Reference 72
3.4 The Synthetic Methodology 77
3.5 Time Perspectives 82
3.6 Emergence 85
3.7 Summary 88
4 Intelligent Systems: Properties and Principles 89
4.1 Real Worlds and Virtual Worlds 90
4.2 Properties of Complete Agents 95
4.3 Agent Design Principle 1: The Three Constituents
Principle 100
4.4 Agent Design Principle 2: The Complete Agent
Principle 104
4.5 Agent Design Principle 3: Cheap Design 107
4.6 Agent Design Principle 4: Redundancy 113
4.7 Agent Design Principle 5: Sensory Motor
Coordination 117
4.8 Agent Design Principle 6: Ecological Balance 123
4.9 Agent Design Principle 7: Parallel, Loosely Coupled
Processes 134
4.10 Agent Design Principle 8: Value 137
4.11 Summary and Conclusions 140
5 Development: From Locomotion to Cognition 141
5.1 Motivation 143
5.2 Toward Developmental Robot Design 145
5.3 From Locomotion to Cognition: A Case Study 149
5.4 From Gait Patterns to Body Image to Cognition 153
5.5 The Symbol Grounding Problem 159
5.6 Matching Brain and Body Dynamics 161
5.7 Broadening the Scope: Other Aspects of Development 164
5.8 Learning in Embodied Systems 168
5.9 Social Interaction 170
5.10 Development: Where Are We and Where Do We Go from
Here? 173
Contents ix
5.11 Summary: Design Principles for Developmental
Systems 175
6 Evolution: Cognition from Scratch 177
6.1 Motivation 181
6.2 The Basics of Evolutionary Computation 184
6.3 The Origins of Evolutionary Computation 187
6.4 Artificial Evolution in the Real World: On Pipes, Antennas,
and Electronic Circuits 189
6.5 Evolutionary Robotics 192
6.6 Evolving Morphology and Control 194
6.7 Genetic Regulatory Networks and Developmental
Plasticity 196
6.8 Self Organization: The Powerful Ally of Mutation and
Selection 204
6.9 Artificial Evolution: Where Are We and Where Do We Go
from Here? 206
6.10 Summary: Design Principles for Evolutionary Systems 208
7 Collective Intelligence: Cognition from Interaction 213
7.1 Motivation 215
7.2 Agent Based Modeling 217
7.3 Simulation versus Real Robots 221
7.4 Groups of Robots 222
7.5 A Note on Cooperation 226
7.6 Modular Robots 228
7.7 Scalability, Self Assembly, Self Repair, Homogeneity, and
Heterogeneity 232
7.8 Self Reproducing Machines 235
7.9 Collective Intelligence: Where Are We and Where Do We
Go from Here? 238
7.10 Summary: Design Principles for Collective Systems 241
III Applications and Case Studies 245
8 Ubiquitous Computing and Interfacing Technology 249
8.1 Ubiquitous Technology as Scaffolding 251
8.2 Ubiquitous Technology: Properties and Principles 253
8.3 Interacting with Ubiquitous Technology 263
x Contents
8.4 Cyborgs 264
8.5 Summary and Conclusions 270
9 Building Intelligent Companies 271
9.1 Management and Entrepreneurship: Decision and Action
under Uncertainty 272
9.2 Companies as Embodied Systems 274
9.3 A Synthetic Approach to Management 279
9.4 Design Principles for Building Intelligent Companies 282
9.5 Corroborating the Speculations 293
9.6 Summary and Conclusions 294
10 Where Is Human Memory? 295
10.1 Introduction 298
10.2 The Storehouse Metaphor and Its Problems 300
10.3 Concepts of Memory 302
10.4 The Frame of Reference Problem in Memory Research:
Ashby's Proposal 304
10.5 The Embodied View of Memory: Applying the Design
Principles for Intelligent Systems 307
10.6 Implications for Memory Research: Summary and
Speculations 318
11 Robotic Technology in Everyday Life 323
11.1 Introduction: Everyday Robots 324
11.2 Vacuum Cleaners: Roomba, Trilobite, and Similar
Species 327
11.3 Entertainment Robots 328
11.4 Therapeutic, Medical, and Rescue Robots 333
11.5 Humanoid Companion Robots 335
11.6 Robots Capable of Social Communication 341
11.7 Robots Capable of Facial and Bodily Expression 344
11.8 A Theoretical Note 346
11.9 Summary and Conclusions 348
IV Principles and Insights 351
12 How the Body Shapes the Way We Think 353
12.1 Steps Toward a Theory of Intelligence 354
12.2 Selected Highlights 358
Contents xi
12.3 Seeing Things Differently 367
12.4 Epilogue 370
Notes 373
References 375
Index 389 |
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| index_date | 2024-07-02T17:13:35Z |
| indexdate | 2024-07-09T20:56:31Z |
| institution | BVB |
| isbn | 0262162393 9780262162395 |
| language | English |
| lccn | 2006044919 |
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| spelling | Pfeifer, Rolf Verfasser aut How the body shapes the way we think a new view of intelligence Rolf Pfeifer and Josh Bongard Cambridge, Mass. [u.a.] MIT Press 2007 XXIV, 394 S. Ill. txt rdacontent n rdamedia nc rdacarrier A Bradford book Includes bibliographical references (p. [375]-388) and index Cognitiewetenschap gtt Intelligentie gtt Kunstmatige intelligentie gtt Künstliche Intelligenz Artificial intelligence Cognitive science Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Bongard, Josh Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015597368&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Pfeifer, Rolf Bongard, Josh How the body shapes the way we think a new view of intelligence Cognitiewetenschap gtt Intelligentie gtt Kunstmatige intelligentie gtt Künstliche Intelligenz Artificial intelligence Cognitive science Künstliche Intelligenz (DE-588)4033447-8 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
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| title | How the body shapes the way we think a new view of intelligence |
| title_auth | How the body shapes the way we think a new view of intelligence |
| title_exact_search | How the body shapes the way we think a new view of intelligence |
| title_exact_search_txtP | How the body shapes the way we think a new view of intelligence |
| title_full | How the body shapes the way we think a new view of intelligence Rolf Pfeifer and Josh Bongard |
| title_fullStr | How the body shapes the way we think a new view of intelligence Rolf Pfeifer and Josh Bongard |
| title_full_unstemmed | How the body shapes the way we think a new view of intelligence Rolf Pfeifer and Josh Bongard |
| title_short | How the body shapes the way we think |
| title_sort | how the body shapes the way we think a new view of intelligence |
| title_sub | a new view of intelligence |
| topic | Cognitiewetenschap gtt Intelligentie gtt Kunstmatige intelligentie gtt Künstliche Intelligenz Artificial intelligence Cognitive science Künstliche Intelligenz (DE-588)4033447-8 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | Cognitiewetenschap Intelligentie Kunstmatige intelligentie Künstliche Intelligenz Artificial intelligence Cognitive science Evolutionärer Algorithmus |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015597368&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT pfeiferrolf howthebodyshapesthewaywethinkanewviewofintelligence AT bongardjosh howthebodyshapesthewaywethinkanewviewofintelligence |