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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.
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