'Backward chaining' diaporamas de présentation

Expert Systems

Expert Systems. ???? Expert Systems: Principles and Programming (4th Edition), Giarratano and Riley, ISBN 0534384471 ( ?????? ) ???? 0. Introduction to Artificial Intelligence 1. Introduction to Expert Systems 2. The Representation of Knowledge 3. Methods of Inference

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Artificial Intelligence

Artificial Intelligence. Knowledge Representation Problem 2. first-order logic. for all x: (NOT(Knows(John, x)) OR IsMean(x) OR Loves(John, x)) John loves everything he knows, with the possible exception of mean things for all y: (Loves(Jane, y) OR Knows(y, Jane))

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CMSC 671 Fall 2001

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Inference in first-order logic

Inference in first-order logic. Chapter 9. Outline. Reducing first-order inference to propositional inference Unification Generalized Modus Ponens Forward chaining Backward chaining Resolution. Universal instantiation (UI).

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CS344 : Introduction to Artificial Intelligence

Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 11- Resolution; Robotic Knowledge Representation. CS344 : Introduction to Artificial Intelligence. Predicate Calculus. Introduction through an example (Zohar Manna, 1974):

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IDDS: Rules-based Expert Systems

IDDS: Rules-based Expert Systems. 02/21/05. References: Artificial Intelligence: A Modern Approach by Russell & Norvig, chapter 10 Knowledge-Based Systems in Business Workshop (2003), by Aronson http://www.aaai.org/AITopics/html/expert.html. AI Research Focuses. Natural Language Processing

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Notes 8: Predicate logic and inference

Notes 8: Predicate logic and inference. ICS 270a Spring 2003. Outline. New ontology objects,relations,properties,functions. New Syntax Constants, predicates,properties,functions New semantics meaning of new syntax Inference rules for Predicate Logic (FOL) Resolution

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Artificial Intelligence

503 views • 33 slides

Expert Systems

Expert Systems. Presented by Mohammad Saniee December 2, 2003. Department of Computer Engineering Sharif University of Technology. Expert Systems. A branch of Artificial Intelligence that makes an extensive use of specialized knowledge to solve problems at the level of an human expert.

889 views • 28 slides

Logic Programming

Logic Programming. We now examine a radically different paradigm for programming: declarative programming rather than writing control constructs (loops, selection statements, subroutines) you specify knowledge and how that knowledge is to be applied through a series of rules

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Intelligent systems

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Chaining in First Order Logic

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What environmental events?

What environmental events?. Very remote (in time) events {PAST} Natural selection Semi-remote events {PAST} Contingencies (respondent and operant) Current events {PRESENT} Presentation of stimuli (US, CS, S D , S D ) Motivational & emotional operations. Chapter 20. Behavioral Chains.

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Expert Systems Reasonable Reasoning

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Inference in first-order logic

Inference in first-order logic. Chapter 9- Part2 Modified by Vali Derhami. Backward chaining algorithm. SUBST(COMPOSE( ? 1 , ? 2 ), p) = SUBST( ? 2 , SUBST( ? 1 , p)) ????? ???????? ????? ????? ?? ??????? ?? ?? ?? ????????? ?? ???? ???. Backward chaining example. Backward chaining example.

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Forward Chaining

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Example of Knowledge Base

Example of Knowledge Base. Knowledge Base: example. According to American Law, selling weapons to a hostile nation is a crime The state of Nono , is an enemy, it has some missiles All missiles were sold to Nono by colonel West, who is an American Proof that colonel West is a criminal.

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Chapter 11

Chapter 11. Behavioral Chaining. Stimulus-Response Chain. S D 1 --> R1 S D 2 --> R2 S D 3 --> R3 S D 4 --> R4 --> S R. Task Analysis.

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INTRODUCTION

Antecedent or Consequence A Comparison of a Correct-Over, Correct-After and Backward Chaining with Site Word Spelling. Ann F. Filer, M/Ed., BCBA John Ward-Horner, Ph.D., BCBA-D Robert K Ross, EdD ., BCBA-D Beacon ABA Services Wendy Kozma - Littleton, M.A. Evergreen Center.

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