'Horn clause' presentation slideshows

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture IV: Logic Agent and First Order Logic. Schedule. TA: Vishakha Sharma Email Address : vsharma1@stevens.edu. Re-cap Lecture III. Constraint Satisfaction Problem Constraint satisfaction problem (CSP) examples Backtracking search for CSPs

1.09k views • 96 slides

Logical Agents

Logical Agents. Chapter 7. Outline. Knowledge-based agents Wumpus world Logic in general - models and entailment Propositional (Boolean) logic Equivalence, validity, satisfiability Inference rules and theorem proving forward chaining backward chaining resolution . Knowledge bases.

931 views • 78 slides

Logical Agents

Logical Agents. Chapter 7. Outline. Knowledge-based agents Wumpus world Logic in general - models and entailment Propositional (Boolean) logic Equivalence, validity, satisfiability Inference rules and theorem proving forward chaining backward chaining resolution. Knowledge bases.

806 views • 78 slides

Automated Reasoning Systems

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Automated Reasoning Systems

487 views • 41 slides

Intro to Logic

Intro to Logic. Dr Shlomo Hershkop March 23 2010. Logical reasoning. How do we know what we know ? Knowledge representation in AI How to represent knowledge in a specific domain Reason and make decisions about this knowledge Logic

489 views • 35 slides

Some Prolog

Some Prolog. Prolog is a logic programming language Used for implementing logical representations and for drawing inference We will do: Some examples of Prolog for motivation Generalized Modus Ponens, Unification, Resolution Wumpus World in Prolog. Inference in First-Order Logic.

275 views • 27 slides

Prepositional Logic

Prepositional Logic. Lecture 5. Logical Equivalence. A stronger form of implication is expressed by the statement B is TRUE if and only if A is TRUE. This is usually written as A ?? B and is called logical equivalence The double arrow signifies that A ?? B is the same as A?B AND B?A

403 views • 23 slides

Logic Languages

Logic Languages. Source: Scott, Michael Programming Language Pragmatics 3rd Ed. Overview. Predicate Calculus Some History and Background Operators & Quantifiers Predicates Horn Clause Resolution and Unification ProLog Basics Examples Limitations, Execution and Wrap up.

474 views • 20 slides

Notes for Chapter 12 Logic Programming

Notes for Chapter 12 Logic Programming. The AI War Basic Concepts of Logic Programming Prolog Review questions. The AI War. How machines should learn: inductive or deductive?

449 views • 20 slides

An Introduction to Logical Programming

An Introduction to Logical Programming. Predicate Calculus. Logic programming is based on formal logic. Formal logic was developed to provide a method for describing propositions. Propositions are logical statements that may or may not be true.

267 views • 14 slides

Horn Clauses and Unification

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Horn Clauses and Unification

362 views • 13 slides

Horn Clauses and Unification

Horn Clauses and Unification. Propositional Logic Clauses Resolution Predicate Logic Horn Clauses Unification Resolution of Horn Clauses. Propositional Logic. If the butler had a motive and the butler was alone with the victim then the butler is guilty. Define our atomic formulas:

228 views • 11 slides