The new digital media offers us an unprecedented memory capacity, an ubiquitous communication channel and a growing computing power.

Autorentext

Pierre Lévy is a professor at the Department of Communication of the Faculty of Arts at the University of Ottawa and Canada Research. He was endowed with a Canada Research Chair in Collective Intelligence at the University of Ottawa in 2002. His CRC in Collective Intelligence was the first academic institution worldwide to be explicitly focused on this new scientific field. He is the author of 12 books about the cultural and social impacts of digital technologies that have been translated into more than 10 languages. He has received several scientific awards in France, Italy, and Canada.

Inhalt

Acknowledgements xv

Chapter 1. General Introduction 1

1.1. The vision: to enhance cognitive processes 2

1.2. A transdisciplinary intellectual adventure 5

1.3. The result: toward hypercortical cognition 27

1.4. General plan of this book 35

PART 1. THE PHILOSOPHY OF INFORMATION 37

Chapter 2. The Nature of Information 41

2.1. Orientation 41

2.2. The information paradigm 45

2.3. Layers of encoding 56

2.4. Evolution in information nature 66

2.5. The unity of nature 69

Chapter 3. Symbolic Cognition 75

3.1. Delimitation of the field of symbolic cognition76

3.2. The secondary reflexivity of symbolic cognition 78

3.3. Symbolic power and its manifestations 80

3.4. The reciprocal enveloping of the phenomenal world and semantic world 82

3.5. The open intelligence of culture 84

3.6. Differences between animal and human collective intelligence 85

Chapter 4. Creative Conversation 89

4.1. Beyond "collective stupidity" 89

4.2. Reflexive explication and sharing of knowledge 92

4.3. The symbolic medium of creative conversation 103

Chapter 5. Toward an Epistemological Transformation of the Human Sciences 113

5.1. The stakes of human development 113

5.2. Critique of the human sciences 120

5.3. The threefold renewal of the human sciences 125

5.4. The Ouroboros 133

Chapter 6. The Information Economy 135

6.1. The symbiosis of knowledge capital and cognitive labor 136

6.2. Toward scientific self-management of collective intelligence 140

6.3. Flows of symbolic energy 144

6.4. Ecosystems of ideas and the semantic information economy 148

6.5. The semantic information economy in the digital medium 154

PART 2. MODELING COGNITION 159

Chapter 7. Introduction to the Scientific Knowledge of the Mind 161

7.1. Research program 161

7.2. The mind in nature 165

7.3. The three symbolic functions of the cortex 171

7.4. The IEML model of symbolic cognition. 176

7.5. The architecture of the Hypercortex 184

7.6. Overview: toward a reflexive collective intelligence 187

Chapter 8. The Computer Science Perspective: Toward a Reflexive Intelligence 189

8.1. Augmented collective intelligence 189

8.2. The purpose of automatic manipulation of symbols: cognitive modeling and self-knowledge 194

8.3. The means of automatic manipulation of symbols: beyond probabilities and logic 202

Chapter 9. General Presentation of the IEML Semantic Sphere 207

9.1. Ideas 208

9.2. Concepts 213

9.3. Unity and calculability 217

9.4. Symmetry 220

9.5. Internal coherence 225

9.6. Inexhaustible complexity 230

Chapter 10. The IEML Metalanguage 235

10.1. The problem of encoding concepts 235

10.2. Text units 238

10.3. Circuits of meaning 241

10.4. Between text and circuits 244

Chapter 11. The IEML Semantic Machine 253

11.1. Overview of the functions involved in symbolic cognition 253

11.2. Requirements for the construction of the IEML semantic machine 258

11.3. The IEML textual machine (S) 261

11.4. The STAR (Semantic Tool for Augmented Reasoning) linguistic engine (B) 264

11.5. The conceptual machine (T) 267

11.6. Conclusion 270

Chapter 12. The Hypercortex 275

12.1. The role of media and symbolic systems in cognition 275

12.2. The digital medium 277

12.3. The evolution of the layers of addressing in the digital medium 284

12.4. Between the Cortex and the Hypercortex 289

12.5. Toward an observatory of collective intelligence 291

12.6. Conclusion: the computability and interoperability of semantic and hermeneutic functions 296

Chapter 13. Hermeneutic Memory 299

13.1. Toward a semantic organization of memory 299

13.2. The layers of complexity of memory 302

13.3. Radical hermeneutics 304

13.4. The hermeneutics of information 308

13.5. The hermeneutics of knowledge 312

13.6. Wisdom 317

13.7. Collective interpretation games 318

Chapter 14. The Perspective of the Humanities: Toward Explicit Knowledge 323

14.1. Context 323

14.2. Methodology: the digital humanities 327

14.3. Epistemology: explicating symbolic cognition 331

Chapter 15. Observing Collective Intelligence 341

15.1. The semantic sphere as a mirror of concepts 341

15.2. The structure of the cognitive image 346

15.3. The two eyes of reflexive observation 350

Bibliography 353

Index 377