Introduction to artificial intelligence and expert systems/
Dan W. Patterson.
- New Delhi: PHI Learning Private Limited, 1990.
- xv, 448 p ill. 25 cm
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.
9788120307773
Artificial intelligence Expert systems (Computer science)