Non-axiomatic Reasoning System

Non-axiomatic Reasoning System PDF Author: Pei Wang
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 192

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Non-axiomatic Logic: A Model Of Intelligent Reasoning

Non-axiomatic Logic: A Model Of Intelligent Reasoning PDF Author: Pei Wang
Publisher: World Scientific
ISBN: 9814440299
Category : Computers
Languages : en
Pages : 275

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Book Description
This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the “laws of thought” followed by the human mind. Different from “mathematical” logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an attempt to return to the original aim of logic, that is, to formulate the regularity in actual human thinking. To achieve this goal, the logic is designed under the assumption that the system has insufficient knowledge and resources with respect to the problems to be solved, so that the “logical conclusions” are only valid with respect to the available knowledge and resources. Reasoning processes according to this logic covers cognitive functions like learning, planning, decision making, problem solving, etc.This book is written for researchers and students in Artificial Intelligence and Cognitive Science, and can be used as a textbook for courses at graduate level, or upper-level undergraduate, on Non-Axiomatic Logic.

Non-axiomatic Reasoning System

Non-axiomatic Reasoning System PDF Author: Pei Wang
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 192

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Rigid Flexibility

Rigid Flexibility PDF Author: Pei Wang
Publisher: Springer Science & Business Media
ISBN: 1402050453
Category : Computers
Languages : en
Pages : 420

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Book Description
This book is the most comprehensive description of the decades-long Non-Axiomatic Reasoning System (NARS) project, including its philosophical foundation, methodological consideration, conceptual design details, implications in the related fields, and its similarities and differences to many related works in cognitive science. While most current works in Artificial Intelligence (AI) focus on individual aspects of intelligence and cognition, NARS is designed and developed to attack the AI problem as a whole.

Non-monotonic Reasoning

Non-monotonic Reasoning PDF Author: Witold Łukaszewicz
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 336

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Artificial General Intelligence

Artificial General Intelligence PDF Author: Patrick Hammer
Publisher: Springer
ISBN: 303027005X
Category : Computers
Languages : en
Pages : 221

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Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Artificial General Intelligence, AGI 2019, held in Shenzhen, China, in August 2019. The 16 full papers and 5 poster papers presented in this book were carefully reviewed and selected from 30 submissions. The papers are covering AGI architectures, discussing mathematical foundations, philosophical foundations, safety and ethics, and developing ideas from neuroscience and cognitive science.

Principia Mathematica

Principia Mathematica PDF Author: Alfred North Whitehead
Publisher:
ISBN:
Category : Logic, Symbolic and mathematical
Languages : en
Pages : 688

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Artificial General Intelligence

Artificial General Intelligence PDF Author: Ben Goertzel
Publisher: Springer Science & Business Media
ISBN: 3540686770
Category : Computers
Languages : en
Pages : 518

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Book Description
“Only a small community has concentratedon general intelligence. No one has tried to make a thinking machine . . . The bottom line is that we really haven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack. . . . We have got to get back to the deepest questions of AI and general intelligence. . . ” –MarvinMinsky as interviewed in Hal’s Legacy, edited by David Stork, 2000. Our goal in creating this edited volume has been to ?ll an apparent gap in the scienti?c literature, by providing a coherent presentation of a body of contemporary research that, in spite of its integral importance, has hitherto kept a very low pro?le within the scienti?c and intellectual community. This body of work has not been given a name before; in this book we christen it “Arti?cial General Intelligence” (AGI). What distinguishes AGI work from run-of-the-mill “arti?cial intelligence” research is that it is explicitly focused on engineering general intelligence in the short term. We have been active researchers in the AGI ?eld for many years, and it has been a pleasure to gather together papers from our colleagues working on related ideas from their own perspectives. In the Introduction we give a conceptual overview of the AGI ?eld, and also summarize and interrelate the key ideas of the papers in the subsequent chapters.

 PDF Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 4947

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Classical and Nonclassical Logics

Classical and Nonclassical Logics PDF Author: Eric Schechter
Publisher: Princeton University Press
ISBN: 9780691122793
Category : Mathematics
Languages : en
Pages : 530

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Book Description
Classical logic is traditionally introduced by itself, but that makes it seem arbitrary and unnatural. This text introduces classical alongside several nonclassical logics (relevant, constructive, quantative, paraconsistent).

Artificial General Intelligence

Artificial General Intelligence PDF Author: Kristinn R. Thórisson
Publisher: Springer Nature
ISBN: 3031655729
Category : Artificial intelligence
Languages : en
Pages : 251

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Book Description
This book constitutes the refereed proceedings of the 17th International Conference on Artificial General Intelligence, AGI 2024, held in Seattle, Washington, USA in August 2024. The 25 papers presented in this book were carefully reviewed and selected from 55 submissions. The papers focus on the main theme of AGI 2024: 'Understanding Artificial General Intelligence', with discussions on various central concepts of general intelligence including thought, understanding, meaning, creativity, insight, reasoning, autonomy, attention and control.