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Introduction.- BP Logic: Chain Set and Probability Overview; BP Chain Sets I, Affirmation, Conjunction, Disjunction; BP Chain Sets II, Special Cases of Chain Sets; BP Chain Sets III, Precise Formulations*; Inferences or the Answering of Questions; Inferences with Higher Level Chain Sets*; IF THEN Information; Various IF THEN Topics.- M Logic: The M-Notation and Ignorance vs Uncertainty; Two Types of Updating of Probabilities; Operations and Ignorance in the M Logic; Modus Ponens and Existence Updating*; IF THEN Information in the M Logic; Existence Structures; Existence Inferences; Conditional and Joint Existence Information and Inference.- Attributes and the Alex System versus Chain Sets: Attributes and the Alex System versus Chain Sets; Solutions to Some Exercises.
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Add Logical Structures for Representation of Knowledge and Uncertainty, To answer questions concerning previously supplied informat- ion the book uses a truth table or 'chain set' logic which combines probabilities with truth values (possibilities). Answers to questions can be 1 (yes); 0 (no); m (a fraction in the case of unc, Logical Structures for Representation of Knowledge and Uncertainty to the inventory that you are selling on WonderClubX
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Add Logical Structures for Representation of Knowledge and Uncertainty, To answer questions concerning previously supplied informat- ion the book uses a truth table or 'chain set' logic which combines probabilities with truth values (possibilities). Answers to questions can be 1 (yes); 0 (no); m (a fraction in the case of unc, Logical Structures for Representation of Knowledge and Uncertainty to your collection on WonderClub |