Introduction to Artificial Intelligence and Expert Systems / Dan W. Patterson
Material type:
TextLanguage: English Publication details: Pearson India Education Services Pvt. Ltd. Noida 2016Description: Book xv, 448p. : ill. ; 23cmISBN: - 9789332551947
- 23rd Ed. 006.30321 PAT
| Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|
| Text Book | VIT-AP General Stacks | 006.30321 PAT (Browse shelf(Opens below)) | Available | CSE | 022141 | ||||
| Text Book | VIT-AP General Stacks | 006.30321 PAT (Browse shelf(Opens below)) | Available | CSE | 022142 | ||||
| Reference Book | VIT-AP General Stacks | Reference | 006.30321 PAT (Browse shelf(Opens below)) | Not For Loan | CSE | 02074 |
It includes References and Index pages
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.
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
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