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Backward Chaining - Artificial Intelligence - Lecture Slides

Slides, Artificial Intelligence

Post: April 29th, 2013
Description
Some concept of Artificial Intelligence are Agents and Problem Solving, Autonomy, Programs, Classical and Modern Planning, First-Order Logic, Resolution Theorem Proving, Search Strategies, Structure Learning. Main points of this lecture are: Backward Chaining, Resolution Preliminaries, First-Order Logic Basics, Logical Agents, Resolution Theorem Proving, Conjunctive Normal Form, Inference Rule, Single-Resolvent Form, General Form, Proof Procedure
Some concept of Artificial Intelligence are Agents and Problem Solving, Autonomy, Programs, Classical and Modern Planning, First-Order Logic, Resolution Theorem Proving, Search Strategies, Structure Learning. Main points of this lecture are: Backward Chaining, Resolution Preliminaries, First-Order Logic Basics, Logical Agents, Resolution Theorem Proving, Conjunctive Normal Form, Inference Rule, Single-Resolvent Form, General Form, Proof Procedure
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Contents
Lecture 15 of 41 More First-Order Logic Basics: Backward Chaining, Resolution Preliminaries Docsity.com Lecture Outline • Today’s Reading • • Next Week’s Reading: Chapters 9-10, R&N Previously: Introduction to Propositional and First-Order Logic – Monday (20 Sep 2004) • First-order logic (FOL): predicates, functions, quantifiers • Sequent rules, proof by refutation – Wednesday (22 Sep 2004) • Forward Chaining with Modus Ponens • Ontology, History of Logic, Russell’s Paradox • Unification, Logic Programming Basics • • Today: Backward Chaining, Resolution Preliminaries, A Look Ahead Next Week: Resolution, Clausal Form (CNF), Decidability of SAT Docsity.com In-Class Discussion: Problem Set 2 Docsity.com Unification: Definitions and Idea Sketch Docsity.com Generalized Modus Ponens Docsity.com Soundness of GMP Docsity.com Forward Chaining Docsity.com Example: Forward Chaining Docsity.com Backward Chaining Docsity.com Example: Bac..

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