Introduction to Artificial Intelligence and Expert Systems Dan W. Patterson

By:

Patterson, W. Dan

Material type: Text

TextPublication details: Chennai Pearson Education 1990Edition: 15Description: 448pISBN:

9789332551947

DDC classification:

006.3 PAT

Contents:

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

Summary: This 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.

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Item type	Current library	Collection	Call number	Status	Barcode
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006281
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006282
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006283
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006284
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006285
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006286
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006287
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006288
Books	IIITDM Kurnool COMPUTER SCIENCE ENGINEERING	Non-fiction	006.3 PAT (Browse shelf(Opens below))	Available	0006289
Reference	IIITDM Kurnool Reference	Reference	006.3 PAT (Browse shelf(Opens below))	Not For Loan	0006290

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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

This 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.

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