'Resolution proof' diaporamas de présentation

Paul Beame University of Washington

Satisfiability and Unsatisfiability: Proof Complexity and Algorithms. Paul Beame University of Washington. Outline. Intro to proof complexity Proof complexity and complete SAT algs Review Resolution/DPLL connection Application to random k-SAT Proof complexity and DPLL extensions

793 views • 56 slides

Paul Beame University of Washington

Satisfiability and Unsatisfiability: Proof Complexity and Algorithms. Paul Beame University of Washington. Outline. Intro to proof complexity Proof complexity and complete SAT algs Review Resolution/DPLL connection Application to random k-SAT Proof complexity and DPLL extensions

569 views • 56 slides

Lectures 11 / 12 Knowledge Representation Propositional Logic

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Lectures 11 / 12 Knowledge Representation Propositional Logic

513 views • 51 slides

Time-Space Tradeoffs in Resolution: Superpolynomial Lower Bounds for Superlinear Space

Time-Space Tradeoffs in Resolution: Superpolynomial Lower Bounds for Superlinear Space. Chris Beck Princeton University Joint work with Paul Beame & Russell Impagliazzo. SAT. The satisfiability problem is a central problem in computer science, in theory and in practice.

644 views • 48 slides

Resolution proof system

Resolution proof system. Presenter Valeriy Balabanov NTU, GIEE, AlCom lab. Outline. Basic definitions Key-facts about resolution proofs Intractability of resolution Heuristics for proof minimization Resolution in first-order logic Conclusion and future work References.

572 views • 38 slides

CSNB234 ARTIFICIAL INTELLIGENCE

CSNB234 ARTIFICIAL INTELLIGENCE. Chapter 8.1 Introduction to Fuzzy Logic and Fuzzy Rules. Instructor: Alicia Tang Y. C. Fuzzy Thinking. Fuzzy logic is used to describe fuzziness . Where fuzzy logic is the theory of fuzzy sets, sets that calibrate vagueness

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Artificial Intelligence 14. Inductive Logic Programming

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Artificial Intelligence

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CCSB354 ARTIFICIAL INTELLIGENCE

CCSB354 ARTIFICIAL INTELLIGENCE. Chapter 9.2 Introduction to Fuzzy Logic. (Chapter 9, pp. 353-363, Textbook) (Chapter 7, Ref. #1). Instructor: Alicia Tang Y. C. Fuzzy Logic & Fuzzy Thinking. Fuzzy logic is used to describe fuzziness. It is not a logic that is fuzzy

423 views • 33 slides

Predicate Logic

Predicate Logic. INT404 (K3305). A Predicate Logic Example. Marcus was a man. Marcus was a Pompeian. All Pompeian were Romans. Caesar was a ruler. All Romans were either loyal to Caesar or hated him. Everyone is loyal to someone.

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12.2 Resolution Theorem Proving

12.2 Resolution Theorem Proving. 12.2.1 Introduction - Resolution Principle 12.2.2 Producing the Clause Form 12.2.3 Resolution Proof Procedure 12.2.4 Strategies for Resolution 12.2.5 Answer Extraction. 12.2.1 Resolution Principle(1).

626 views • 32 slides

Propositional Calculus

Propositional Calculus. There are only two truth values, true and false Variables are typically represented by upper case letters Commonly used connectives negation, ? and (conjunction), ? or (disjunction), ? implication, ? equivalence, =

489 views • 22 slides

Propositional Calculus

Propositional Calculus. There are only two truth values, true and false Variables are typically represented by upper case letters Commonly used connectives negation, ? and (conjunction), ? or (disjunction), ? implication, ? equivalence, =

241 views • 22 slides

Resolution and Refutation Proofs

Resolution and Refutation Proofs. Introduction to Artificial Intelligence CS440/ECE448 Lecture 13 Homework due March 2. Last lecture. Substitutions and unification Generalized Modus Ponens Resolution definition This lecture Refutation proofs True-or-false questions

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Lifting Propositional Interpolants to the Word-Level

199 views • 11 slides