Non-Axiomatic Logic: A Model of Intelligent, 2E by Pei Wang (.PDF)

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Non-Axiomatic Logic: A Model of Intelligent Reasoning, 2nd Edition by Pei Wang
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Overview: 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. NAL is the logical aspect of the AI system Non-Axiomatic Reasoning System (NARS). Since this book focuses on this logic, the other aspects of NARS (such as memory and control) are mentioned only when necessary. Since NARS aims at a general-purpose “thinking machine”, this project is related to many previous works in AI and CogSci. However, restricted by its length and focus, this book cannot compare NARS to all of them, but only to the most relevant ones. Many of the aspects of NARS have been discussed in previous publications, such as Wang, as well as many journal articles and conference papers that are cited in the bibliography. 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.
Genre: Non-Fiction > Tech & Devices

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