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

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