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Adaptive Information Processing: An Introductory Survey: Monographs in Computer Science

Autor Jeffrey R. Sampson
en Limba Engleză Paperback – 15 apr 2012
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.
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Specificații

ISBN-13: 9783642855030
ISBN-10: 3642855032
Pagini: 228
Ilustrații: X, 214 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:Softcover reprint of the original 1st ed. 1976
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Monographs in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

I Information and automata.- 1 Communication theory.- 2 Coding information.- 3 Finite automata.- 4 Turing machines.- 5 Cellular automata.- II Biological information processing.- 6 Biochemical coding and control.- 7 Genetic information transmission.- 8 Neural information transmission.- 9 Neural input-output.- 10 Computer simulation models.- III Artificial intelligence.- 11 Pattern recognition.- 12 Game playing.- 13 Theorem proving.- 14 Problem solving.- 15 Natural language processing.