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Introduction to Artificial Intelligence and Expert Systems Dan W. Patterson

By: Material type: TextTextPublication 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 Date due Barcode
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Available 0006281
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Available 0006282
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Checked out 18.01.2025 0006283
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Available 0006284
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Checked out 18.01.2025 0006285
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Checked out 18.01.2025 0006286
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Available 0006287
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Checked out 18.01.2025 0006288
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 006.3 PAT (Browse shelf(Opens below)) Checked out 22.01.2025 0006289
Reference Reference IIITDM Kurnool Reference Reference 006.3 PAT (Browse shelf(Opens below)) Not For Loan 0006290

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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