Abstract
This chapter focuses on pattern recognition as an inductive process. It is generally accepted that pattern recognition is a special kind of induction, but no serious efforts have so far been made to examine the way in which various aspects of pattern recognition fit in the general framework of inductive inference. The chapter presents a mathematical model of induction proposed previously. It is very important in the methodological study of pattern recognition to clarify the way in which the inductive arbitrariness creeps into the method and the kind of guiding principle of nonlogical nature that is actually practiced to make the method work as a technique. Inductive inference is, in a certain sense, the inverse process of deductive inference. Deductive inference involves three components: (1) hypothesis or Law, (2) auxiliary condition, and (3) experimental data.
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