'Proof procedure' diaporamas de présentation

Logic and Rules

Logic and Rules . Most material was taken from the following source: Grigoris Antoniou, Frank van Harmelen , A Semantic Web Primer, 2nd Edition, MIT Press, 2008, ISBN 978-0-262-01242-3. Lecture Outline. Introduction Rules: Example Rules: Syntax & Semantics

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Reasoning on the Web: Theory, Challenges, and Applications in Bioinformatics

Reasoning on the Web: Theory, Challenges, and Applications in Bioinformatics. Contents. Motivation Beyond the web: Rules, Reasoning, Semantics, Ontologies Semantics of Deduction Rules Argumentation Semantics Fuzzy Reasoning Reaction rules Vivid Agents Prova

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Introduction to Artificial Intelligence LECTURE 9 : Resolution in FOL

Introduction to Artificial Intelligence LECTURE 9 : Resolution in FOL. Theorem Proving in First Order Logic Unification Resolution. FOL Decidability (1).

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Logic: Proof procedures, soundness and correctness

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Logic: Bottom-up & Top-down proof procedures

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Logic: Top-down proof procedure and Datalog

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Logic: Top-down proof procedure and Datalog

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Arguments and Misunderstandings: A Fuzzy Approach to Conflict Resolution in Open Systems

Arguments and Misunderstandings: A Fuzzy Approach to Conflict Resolution in Open Systems. Overview. Motivation: Expressive Knowledge Representation Part I: Argumentation as LP semantics Notions of attack and justified arguments Hierarchy of semantics Proof procedure

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Chapter 2 & 3 (Part 2): A Representation & Reasoning System & Using Definite Knowledge

Chapter 2 & 3 (Part 2): A Representation & Reasoning System & Using Definite Knowledge. Proofs (2.7) (How to compute logical consequences of a KB rather that testing whether a given formula is a KB logical consequence?) Functions Symbols: Language Extension (2.8)

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Chapter 2 & 3 (Part 2): A Representation & Reasoning System & Using Definite Knowledge

Chapter 2 & 3 (Part 2): A Representation & Reasoning System & Using Definite Knowledge. Proofs (2.7) (How to compute logical consequences ?) Functions Symbols: Language Extension (2.8) Representing Abstract Concepts (3.5).

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Logic: Domain Modeling /Proofs + Top-Down Proofs Computer Science cpsc322, Lecture 22

Logic: Domain Modeling /Proofs + Top-Down Proofs Computer Science cpsc322, Lecture 22 (Textbook Chpt 5.2) Oct, 30, 2013. Department of Computer Science Undergraduate Events More details @ https://www.cs.ubc.ca/students/undergrad/life/upcoming-events. Mastering LinkedIn Workshop

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Logic: Domain Modeling /Proofs + Top-Down Proofs Computer Science cpsc322, Lecture 22

Logic: Domain Modeling /Proofs + Top-Down Proofs Computer Science cpsc322, Lecture 22 (Textbook Chpt 5.2) March, 8, 2010. Lecture Overview. Recap Using Logic to Model a Domain (Electrical System) Reasoning/Proofs (in the Electrical Domain) Top-Down Proof Procedure.

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Proving Facts About Programs With a Proof Assistant

Proving Facts About Programs With a Proof Assistant. John Wallerius An Example From: Isabelle/HOL, A Proof Assistant for Higher Order Logic, By T. Nipkow, L Paulson and M. Wenzel. A Simple Example Using Lists. Specify data types (e.g. polymorphic lists, trees) using ML- like syntax:

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CS 344 Artificial Intelligence By Prof: Pushpak Bhattacharya Class on 05/Feb/2007

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