Screen LibraryNon-axiomatic logic : a model of intelligent reasoning /
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...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
World Scientific Pub. Co.,
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| Publisher Address: | Singapore ; Hackensack, N.J. : |
| Publication Dates: | 2013. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://www.worldscientific.com/worldscibooks/10.1142/8665#t=toc |
| Summary: |
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. |
| Carrier Form: | 1 online resource (xvi,258pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 241-249) and index. |
| ISBN: | 9789814440288 (electronic bk.) |
| Index Number: | Q335 |
| CLC: | TP301.6 |
| Contents: | 1. Introduction. 1.1. Intelligence. 1.2. Reasoning system. 1.3. NAL overview -- 2. IL-1: idealized situation. 2.1. Categorical language. 2.2. Experience-grounded semantics. 2.3. Syllogistic inference rules -- 3. NAL-1: basic syntax and semantics. 3.1. Evidence and its measurement. 3.2. Two-dimensional truth-value. 3.3. Representations of uncertainty. 3.4. Experience and belief -- 4. NAL-1: basic inference rules. 4.1. Local inference rules. 4.2. Forward inference rules. 4.3. Backward inference rules -- 5. NARS: basic memory and control. 5.1. Inference tasks. 5.2. Bag-based storage. 5.3. Concept as a unit. 5.4. Inference cycle. 5.5. Properties of NARS -- 6. NAL-2: derivative copulas. 6.1. Similarity copula. 6.2. Instance copula. 6.3. Property copula -- 7. NAL-3: set-theoretic terms. 7.1. Compound term. 7.2. Intersections. 7.3. Differences. 7.4. Multi-component sets. 7.5. Inference on compound terms -- 8. NAL-4: relational terms. 8.1. Product and acquired relation. 8.2. Types of conceptual relation. 8.3. Image and structural transformation -- 9. NAL-5: statements as terms. 9.1. Higher-order statement. 9.2. Implication and inheritance. 9.3. Implication as conditional. 9.4. Negation. 9.5. Analytic truth in inference -- 10. NAL-6: variable terms. 10.1. Variable terms defined. 10.2. Variable elimination and introduction. 10.3. Symbolic reasoning -- 11. NAL-7: events as statements. 11.1. Time and events. 11.2. Temporal connectors and copulas. 11.3. Temporal inference -- 12. NAL-8: operations and goals as events. 12.1. Operations as executable events. 12.2. Goals as desired events. 12.3. Practical reasoning. 12.4. Sensorimotor interface -- 13. NAL-9: Self-monitoring and self-control. 13.1. Mental operations. 13.2. Feeling and emotion. 13.3. Consciousness -- 14. Summary and beyond. 14.1. The nature of NAL. 14.2. Comparison with other logics. 14.3. NAL and AI. |