Knowledge-Based Systems

Description

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 math 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.

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