'First order predicate calculus' diaporamas de présentation

Knowledge representation 1

Knowledge representation 1. The importance of knowledge representation. Contrary to the beliefs of early workers in AI, experience has shown that Intelligent Systems cannot achieve anything useful unless they contain a large amount of real-world - probably domain-specific - knowledge.

1.04k views • 72 slides

Semantics

Semantics. Ling 571 Fei Xia Week 6: 11/1-11/3/05. Outline. Meaning representation: what formal structures should be used to represent the meaning of a sentence? Semantic analysis: how to form the formal structures from smaller pieces? Lexical semantics: . Meaning representation.

1.15k views • 69 slides

Introduction to Software Project Management

Introduction to Software Project Management. Software Crisis. Describe the impact of rapid increases in computer power and the complexity of the problems that could be tackled. it refers to the Difficulty of writing correct, understandable, and verifiable computer programs.

687 views • 59 slides

COSC3306: Programming Paradigms Lecture 8: Declarative Programming Specifications

COSC3306: Programming Paradigms Lecture 8: Declarative Programming Specifications. Haibin Zhu, Ph.D. Computer Science Nipissing University (C) 2003. Contents. Logic Programming First order predicate calculus and Horn clause Resolution Unification Search structure Application.

874 views • 50 slides

Chapter 6

King Saud University College of Computer and Information Sciences Information Technology Department IT422 - Intelligent systems . Chapter 6. Knowledge Representation & Reasoning (part 2) First Order Logic. Introduction. Propositional logic pros:

511 views • 41 slides

Artificial Intelligence Chapter 17 Knowledge-Based Systems

Artificial Intelligence Chapter 17 Knowledge-Based Systems. Part 2/2. Biointelligence Lab School of Computer Sci. & Eng. Seoul National University. 17.4 Rule-Based Expert Systems (1/9). Expert Systems One of the most successful applications of AI reasoning technique using facts and rules

644 views • 36 slides

Formal Methods: Z

Formal Methods: Z. CS 415, Software Engineering II Mark Ardis, Rose-Hulman Institute March 18, 2003. Outline. Types of Formal Methods Introduction to Z Examples. Formal Methods. Specification and verification methods Have formal (mathematical) semantics unambiguous

1.07k views • 35 slides

Knowledge-Based Systems

Knowledge-Based Systems. Rule-Based Expert Systems. Expert Systems One of the most successful applications of AI reasoning technique using facts and rules

767 views • 32 slides

Rule-Based Expert Systems

513 views • 31 slides

Preview

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CYC: A Large-Scale Investment in Knowledge Infrastructure

220 views • 12 slides