Rigid Flexibility

The Logic of Intelligence

  • Pei Wang

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Theoretical Foundation

    1. Front Matter
      Pages 1-1
  3. Non-Axiomatic Reasoning System

    1. Front Matter
      Pages 47-47
    2. Pages 49-90
    3. Pages 91-113
    4. Pages 115-148
    5. Pages 149-169
  4. Comparison and Discussion

    1. Front Matter
      Pages 171-171
    2. Pages 173-200
    3. Pages 201-244
    4. Pages 245-269
    5. Pages 271-296
    6. Pages 319-344
  5. Conclusions

    1. Front Matter
      Pages 345-345
    2. Pages 347-356
    3. Pages 357-370
  6. Back Matter
    Pages 371-412

About this book

Introduction

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.

Keywords

Extension artificial intelligence cognition cognitive science intelligence knowledge learning logic philosophy predicate logic reasoning science semantic semantics thinking

Authors and affiliations

  • Pei Wang
    • 1
  1. 1.Temple UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/1-4020-5045-3
  • Copyright Information Springer 2006
  • Publisher Name Springer, Dordrecht
  • eBook Packages Computer Science
  • Print ISBN 978-1-4020-5044-2
  • Online ISBN 978-1-4020-5045-9
  • About this book