Pattern recognition, and the assignment of the appropriate name to the recognized pattern, are at the very center of the study of perception. But until recently it has been extremely difficult to study them with any precision, because of their complexity. This book focuses upon these problems, by attempting to pull together pertinent discussions, reviews of literature, experimental papers, and theoretical models. Special attention is given to the most powerful theoretical models of pattern recognition as yet developed: those that are coded as computer programs, and then run on the large modern computer in order to discover their properties.
Papers are presented by philosophers, psychologists, neurophysiologists, engineers, mathematicians, and computer scientists, on almost every phase of the problem of pattern recognition. The purpose of the book is to pull together diverse materials, from diverse points of attack, that will be of interest to a wide variety of people who are intrigued by problems that involve pattern recognition.
Pattern recognition is a good example of a problem that is of interest to and has been investigated by many different disciplines, all too frequently with relative ignorance within each discipline as to what the others are doing. Hopefully this book may serve as a stimulus for fresh ideas and fruitful research in the future.