Adaptive Information Processing by Jeffrey R Sampson

Adaptive Information Processing by Jeffrey R Sampson

This book began as a series of lecture notes for a course called Introduc- tion to Adaptive Systems which I developed for undergraduate Computing Science majors at the University of Alberta and first taught in 1973. The objective of the course has been threefold: (l) to expose undergraduate computer scientists to a variety of subjects in the theory and application of computation, subjects which are too often postponed to the graduate level or never taught at all; (2) to provide undergraduates with a background sufficient to make them effective participants in graduate level courses in Automata Theory, Biological Information Processing, and Artificial Intelligence; and (3) to present a personal viewpoint which unifies the apparently diverse aspects of the subject matter covered. All of these goals apply equally to this book, which is primarily designed for use in a one semester undergraduate computer science course. I assume the reader has a general knowledge of computers and programming, though not of particular machines or languages. His mathematical background should include basic concepts of number systems, set theory, elementary discrete probability, and logic.

SKU	Unavailable
ISBN 13	9783642855030
ISBN 10	3642855032
Title	Adaptive Information Processing
Author	Jeffrey R Sampson
Series	Monographs In Computer Science
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer
Year published	2012-04-15
Number of pages	214
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.