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Knowledge-Based SystemsAuthors: Rajendra Akerkar, Priti Sajja
A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a maths background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.
TABLE OF CONTENTS
Chapter 1 INTRODUCTION TO KNOWLEDGE BASED SYSTEMS
Chapter 2 KNOWLEDGE BASED SYSTEMS ARCHITECTURE
Chapter 3 DEVELOPMENT OF KNOWLEDGE BASED SYSTEMS
Chapter 4 KNOWLEDGE MANAGEMENT
Chapter 5 FUZZY LOGIC
Chapter 6 AGENT BASED SYSTEMS
Chapter 7 CONNECTIONIST MODELS
Chapter 8 GENETIC ALGORITHMS
Chapter 9 SOFT COMPUTING SYSTEMS
Chapter 10 KNOWLEDGE-BASED MULTI-AGENT SYSTEM ACCESSING DISTRIBUTED DATABASE GRID: AN E-LEARNING SOLUTION
Chapter 11 KNOWLEDGE INTENSIVE LEARNING: DIET MENU PLANNER
Chapter 12 NATURAL LANGUAGE INTERFACE: QUESTION ANSWERING SYSTEM