Wang Rigid Flexibility

The Logic of Intelligence
1. Auflage 2006
ISBN: 978-1-4020-5045-9
Verlag: Springer Netherlands
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 402 Seiten, Web PDF

Reihe: Applied Logic Series

This book provides the blueprint of a thinking machine.

While most of the current works in Artificial Intelligence (AI) focus on individual aspects of intelligence and cognition, the project described in this book, Non-Axiomatic Reasoning System (NARS), is designed and developed to attack the AI problem as a whole.

This project is based on the belief that what we call "intelligence" can be understood and reproduced as "the capability of a system to adapt to its environment while working with insufficient knowledge and resources". According to this idea, a novel reasoning system is designed, which challenges all the dominating theories in how such a system should be built. The system carries out reasoning, learning, categorizing, planning, decision making, etc., as different facets of the same underlying process. This theory also provides unified solutions to many problems in AI, logic, psychology, and philosophy.

This book is the most comprehensive description of this decades-long project, including its philosophical foundation, methodological consideration, conceptual design details, its implications in the related fields, as well as its similarities and differences to many related works in cognitive sciences.
TOC:Preface vi
Acknowledgment ix
PART I. Theoretical Foundation
Chapter 1. The Goal of Artificial Intelligence
Chapter 2. A New Approach Toward AI
PART II. Non-Axiomatic Reasoning System
Chapter 3. The Core Logic
Chapter 4. First-Order Inference
Chapter 5. Higher-Order Inference
Chapter 6. Inference Control
PART III. Comparison and Discussion
Chapter 7. Semantics
Chapter 8. Uncertainty
Chapter 9. Inference Rules
Chapter 10. NAL as a Logic
Chapter 11. Categorization and Learning
Chapter 12. Control and Computation
PART IV. Conclusions
Chapter 13. Current Results
Chapter 14. NARS in the Future
Bibliography
Index

Zielgruppe

Research

Autoren/Hrsg.

Wang, Pei

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie Intelligenz, Denken, Problemlösen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geisteswissenschaften Philosophie Moderne Philosophische Disziplinen Philosophie des Geistes, Neurophilosophie
• Geisteswissenschaften Philosophie Philosophische Logik, Argumentationstheorie

Inhaltsverzeichnis

Theoretical Foundation.- The Goal of Artificial Intelligence.- A New Approach Toward AI.- Non-Axiomatic Reasoning System.- The Core Logic.- First-Order Inference.- Higher-Order Inference.- Inference Control.- Comparison and Discussion.- Semantics.- Uncertainty.- Inference Rules.- NAL as a Logic.- Categorization and Learning.- Control and Computation.- Conclusions.- Current Results.- NARS in the Future.