'Complete inference procedure' presentation slideshows

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture IV: Logic Agent and First Order Logic. Announcement. CA Office Hour: 3:00pm-4:00pm, Lieb 319. Homework assignment should be checked at Moodle. Schedule. Re-cap Lecture III. Constraint Satisfaction Problem

1.12k views • 96 slides

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

1.08k views • 96 slides

CptS 440 / 540 Artificial Intelligence

CptS 440 / 540 Artificial Intelligence. Knowledge Representation. Knowledge Representation. Knowledge Representation. When we use search to solve a problem we must Capture the knowledge needed to formalize the problem Apply a search technique to solve problem

1.27k views • 95 slides

CS 8520: Artificial Intelligence

CS 8520: Artificial Intelligence. Logical Agents and First Order Logic Paula Matuszek Fall, 2005. Outline. Knowledge-based agents Wumpus world Logic in general - models and entailment Propositional (Boolean) logic Equivalence, validity, satisfiability Inference rules and theorem proving

1.06k views • 81 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.

1.02k views • 78 slides

Logical Agents (NUS)

Logical Agents (NUS). 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.

879 views • 76 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.

1.22k views • 74 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.

860 views • 74 slides

CMSC 471 Fall 2004

646 views • 57 slides

Logic Inference

CMSC 471. Logic Inference. Chapter 7.5, 9. Adapted from slides by Tim Finin and Marie desJardins. Some material adopted from notes by Andreas Geyer-Schulz, Chuck Dyer, and Lise Getoor. Outline. Model checking Inference in first-order logic Inference rules Forward chaining

868 views • 56 slides

CSC 463 Fall 2010

626 views • 55 slides

CMSC 471 Fall 2002

673 views • 49 slides

Artificial Intelligence

Artificial Intelligence. First-Order Logic Inference in First-Order Logic. First-Order Logic: Better choice for Wumpus World. Propositional logic represents facts First-order logic gives us Objects Relations: how objects relate to each other Properties: features of an object

580 views • 46 slides

Artificial Intelligence

Artificial Intelligence. First-Order Logic Inference in First-Order Logic. First-Order Logic: Better choice for Wumpus World. Propositional logic represents facts First-order logic gives us Objects Relations: how objects relate to each other Properties: features of an object

630 views • 46 slides

Logic

Logic. Knowledge-based agents. Knowledge base (KB) = set of sentences in a formal language Declarative approach to building an agent (or other system): Tell it what it needs to know Then it can ask itself what to do - answers should follow from the KB

605 views • 41 slides

For Friday

401 views • 29 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.

273 views • 27 slides

For Monday

390 views • 26 slides

Resolution in Propositional and First-Order Logic

Resolution in Propositional and First-Order Logic. Inference rules. Logical inference creates new sentences that logically follow from a set of sentences (KB) An inference rule is sound if every sentence X it produces when operating on a KB logically follows from the KB

723 views • 15 slides

Chapter 5

Chapter 5. Knowledge Representation & Reasoning (Part 2) Propositional Logic. Knowledge Representation & Reasoning . Propositional Logic: Inference rules An inference rule is sound if the conclusion is true in all cases where the premises are true. ? Premise _____ ? Conclusion.

246 views • 11 slides