'Unit clause' diaporamas de présentation

Satisfiability Solvers

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Satisfiability of Propositional Formulas

Satisfiability of Propositional Formulas. Mooly Sagiv. Based on a presentation by Sharad Malik & Ohad Shacham. a. 0. 1. b. b. 0. 1. 1. 0. c. c. c. c. 0. 1. 0. 1. 0. 1. 0. 1. The SAT Problem. Given a propositional formula (Boolean function)

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Warm-up

Warm-up. The regions below visually enclose the set of models that satisfy the respective sentence or . For which of the following diagrams does entail . Select all that apply. A). B). C). D). E). Warm-up. : iff in every world where is true, is also true.

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Logical Agents ??????? ?????

Logical Agents ??????? ?????. Chapter 7 (part 2) Modified by Vali Derhami. Proof methods. Proof methods divide into (roughly) two kinds: Application of inference rules Legitimate (sound) generation of new sentences from old

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Solving SAT Problems

Solving SAT Problems. Dave Touretzky (with some slides from Tuomas Sandholm ) Read Russell & Norvig Ch. 7.6-7. 8. Overview. Satisfiability problems are CSPs with boolean variables. Solution techniques: Truth table enumeration. Theorem proving:

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Logic Programming

Logic Programming Logic programming is based on first order predicate logic. Clauses are very common in logic programming which are special forms of FOL. Program in logic programming is a collection of clauses. Clause in logic programming adopts a special clausal notation.

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Reasoning Algorithms in Propositional Logic

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Artificial Intelligence

Artificial Intelligence. Search: 4 Search Heuristics. Ian Gent ipg@cs.st-and.ac.uk. Artificial Intelligence. Search 4. Part I : Depth first search for SAT Part II: Davis-Putnam Algorithm Part III: Heuristics for SAT. Search: the story so far.

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Logical Inference: Through Proof to Truth

Logical Inference: Through Proof to Truth. CHAPTERS 7, 8 Oliver Schulte. Active Field: Automated Deductive Proof. Call for Papers. Proof Methods Overview. Methods. generate new sentences from given sentences. search through truth assignments. most useful if we expect no solution to exist.

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Heuristics for Efficient SAT Solving

Heuristics for Efficient SAT Solving. As implemented in GRASP , Chaff and GSAT. ?. X. ?. X. X. X. X. A Basic SAT algorithm (1/3). Given ? in CNF: (x,y,z),(-x,y),(-y,z),(-x,-y,-z). Decide(). Deduce(). Resolve_Conflict(). A Basic SAT algorithm (2/3). Choose the next

378 views • 19 slides