This Book Offers Students And AI Programmers A New Perspective On The Study Of Artificial Intelligence Concepts. The Essential Topics And Theory Of AI Are Presented, But It Also Includes Practical Information On Data Input & Reduction As Well As Data Output (I.E., Algorithm Usage). Because Traditional AI Concepts Such As Pattern Recognition, Numerical Optimization And Data Mining Are Now Simply Types Of Algorithms, A Different Approach Is Needed. This "Sensor / Algorithm / Effecter" Approach Grounds The Algorithms With An Environment, Helps Students And AI Practitioners To Better Understand...