Ebook: Adaptive Information Processing: An Introductory Survey
Author: Jeffrey R. Sampson
- Genre: Computers // Algorithms and Data Structures
- Tags: Computer Science general
- Series: Texts and Monographs in Computer Science
- Year: 1976
- Publisher: Springer
- Language: English
- pdf
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.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-3
Front Matter....Pages 5-6
Communication theory....Pages 7-15
Coding information....Pages 16-24
Finite automata....Pages 25-39
Turing machines....Pages 40-55
Cellular automata....Pages 56-66
Front Matter....Pages 67-68
Biochemical coding and control....Pages 69-84
Genetic information transmission....Pages 85-95
Neural information transmission....Pages 96-106
Neural input—output....Pages 107-117
Computer simulation models....Pages 118-126
Front Matter....Pages 127-128
Pattern recognition....Pages 129-145
Game playing....Pages 146-159
Theorem proving....Pages 160-174
Problem solving....Pages 175-189
Natural language processing....Pages 190-207
Back Matter....Pages 208-214
Content:
Front Matter....Pages i-x
Introduction....Pages 1-3
Front Matter....Pages 5-6
Communication theory....Pages 7-15
Coding information....Pages 16-24
Finite automata....Pages 25-39
Turing machines....Pages 40-55
Cellular automata....Pages 56-66
Front Matter....Pages 67-68
Biochemical coding and control....Pages 69-84
Genetic information transmission....Pages 85-95
Neural information transmission....Pages 96-106
Neural input—output....Pages 107-117
Computer simulation models....Pages 118-126
Front Matter....Pages 127-128
Pattern recognition....Pages 129-145
Game playing....Pages 146-159
Theorem proving....Pages 160-174
Problem solving....Pages 175-189
Natural language processing....Pages 190-207
Back Matter....Pages 208-214
....