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Reasoning under uncertainty, that is, making judgements with only partial knowledge, is a major theme in artificial intelligence. Professor Paris provides here an introduction to the mathematical foundations of the subject. It is suited for readers with some knowledge of undergraduate mathematics but is otherwise self-contained, collecting together the key results on the subject and formalizing within a unified framework the main contemporary approaches and assumptions. The author has concentrated on giving clear mathematical formulations, analyses, justifications and consequences of the main theories about uncertain reasoning, so the book can serve as a textbook for beginners or as a starting point for further basic research into the subject. It will be welcomed by graduate students and research workers in logic, philosophy and computer science as an account of how mathematics and artificial intelligence can complement and enrich each other.
Logic, Symbolic and mathematical. --- Uncertainty. --- Reasoning.
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Diagrams are widely used in reasoning about problems in physics, mathematics and logic, but have traditionally been considered to be only heuristic tools and not valid elements of mathematical proofs. This book challenges this prejudice against visualisation in the history of logic and mathematics and provides a formal foundation for work on natural reasoning in a visual mode. The author presents Venn diagrams as a formal system of representation equipped with its own syntax and semantics and specifies rules of transformation that make this system sound and complete. The system is then extended to the equivalent of a first-order monadic language. The soundness of these diagrammatic systems refutes the contention that graphical representation is misleading in reasoning. The validity of the transformation rules ensures that the correct application of the rules will not lead to fallacies. The book concludes with a discussion of some fundamental differences between graphical systems and linguistic systems. This groundbreaking work will have important influence on research in logic, philosophy and knowledge representation.
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Automatic theorem proving --- Logic, Symbolic and mathematical --- Congresses. --- Congresses --- Logic [Symbolic and mathematical ]
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The proceedings of LICS'94 comprise 61 contributed papers on topics in domain theory, finite model theory, concurrency, semantics, constraints, modal and temporal logic, types, constructive mathematics, complexity and databases, logic programming, linear logic, category theory, rewriting, lambda-calculus, logic in artificial intelligence, and automated deduction.
Logic, Symbolic and mathematical --- Logic, Symbolic and mathematical. --- Computer science --- Mathematics
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The proceedings of LICS'94 comprise 61 contributed papers on topics in domain theory, finite model theory, concurrency, semantics, constraints, modal and temporal logic, types, constructive mathematics, complexity and databases, logic programming, linear logic, category theory, rewriting, lambda-calculus, logic in artificial intelligence, and automated deduction.
Logic, Symbolic and mathematical --- Logic, Symbolic and mathematical. --- Computer science --- Mathematics
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Computer. Automation --- Logic, Symbolic and mathematical. --- Set theory. --- System design.
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