Introduction To Artificial Intelligence And Expert Systems

By: Dan W PattersonContributor(s): PATTERSON (Dan W)Material type: TextTextLanguage: English Publisher: New Delhi Pearson Education 2009Description: xv,448ISBN: 9789332551947 Subject(s): Artificial IntelligenceDDC classification: 001.535 PATI
List(s) this item appears in: New Arrivals - May 2023
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
Book Book St Aloysius College (Autonomous)
Computer Applications & Animation 001.535 PATI (Browse shelf) Available 076387
Book Book St Aloysius College (Autonomous)
Computer Applications & Animation 001.535 PATI (Browse shelf) Available 064642
Total holds: 0

his text provides comprehensive treatment of all important topics in artificial intelligence and expert systems - presented from a knowledge based systems approach. The text covers the knowledge and knowledge representation methods in both breadth and detail, with many examples, covers the latest results in all key areas of AI, including knowledge representation, pattern matching, natural language processing, computer vision, memory organization, pattern recognition, expert systems, neural networks, AI tools and machine learning. throughout. The book provides chapter introductions and chapter summaries.

Table of Content
Part 1: Introduction to Artificial Intelligence - Overview of Artificial Intelligence
Knowledge: General Concepts
LISP and Other AI Programming Languages
Part 2: Knowledge Representation - Formalized Symbolic Logics
Dealing with Inconsistencies and Uncertainties
Probabilistic Reasoning
Structured Knowledge: Graphs, Frames and Related Structures
Object Oriented Representations
Part 3: Knowledge Organization and Manipulation - Search and Control Strategies
Matching Techniques
Knowledge Organization and Management
Part 4: Perception, Communication and Expert Systems - Natural Language Processing
Pattern Recognition
Visual Image Understanding
Expert Systems Architectures
Part 5: Knowledge Acquisition - General Concepts in Knowledge Acquisition
Early Work in Machine Learning
Learning by Induction
Examples of Other Inductive Learners
Analogical and Explanation Based Learning

There are no comments on this title.

to post a comment.

Powered by Koha