Non-axiomatic Logic: A Model Of Intelligent Reasoning Second Edition

Non-axiomatic Logic: A Model Of Intelligent Reasoning Second Edition book cover

Non-axiomatic Logic: A Model Of Intelligent Reasoning Second Edition

Author(s): Pei Wang (Author)

  • Publisher: WSPC
  • Publication Date: August 21, 2025
  • Edition: Second Edition
  • Language: English
  • Print length: 358 pages
  • ISBN-10: 9819819423
  • ISBN-13: 9789819819423

Book Description

This book provides a comprehensive, up-to-date, and rigorously detailed introduction to Non-Axiomatic Logic (NAL), a groundbreaking framework for adaptive systems operating under conditions of insufficient knowledge and resources. Designed according to the principles of human cognition, NAL serves as a cornerstone for advancing general-purpose Artificial Intelligence while addressing many topics in logic, psychology, linguistics, philosophy, and computer science. Now fully expanded into a textbook format, this second edition builds on the foundation of the 2013 lecture notes-style first edition, transforming it into an ideal resource for one-semester graduate or upper-level undergraduate courses. Retaining the original structure while significantly enhancing accessibility and depth, this edition features: New theoretical advancements in NAL design, particularly in later chapters. Clearer exposition of core concepts, including the rationale behind NAL’s formalism. Practical insights into key design choices for computer implementations. Enhanced pedagogy: Detailed examples, chapter summaries, and end-of-chapter exercises to reinforce learning. Critical context: Footnotes comparing NAL to alternative models and exploring advanced topics. Meticulous revisions: Corrections of errors and typos for improved accuracy. Readers with a college-level background in AI, computer science, or mathematical logic will find this book indispensable for understanding the principles and applications of NAL in AI development.

Editorial Reviews

About the Author

Pei Wang is Associate Professor of Instruction in Computer and Information Sciences in the College of Science and Technology, Temple University, USA. He holds a PhD in Computer Science and Cognitive Science from Indiana University, USA (awarded in 1995), MS in Computer Science from Peking University, China (1986) and BS in Computer Science from Peking University (1983). He is also Chief Executive Editor of the Journal of Artificial General Intelligence and Vice Chair of the Artificial General Intelligence (AGI) Society.

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