Skip to main content
SpringerLink
Log in

Adaptive Information Processing

An Introductory Survey

  • Book
  • © 1976

Overview

Authors:
  1. Jeffrey R. Sampson

    1. Department of Computing Science, The University of Alberta, Edmonton, Canada

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Monographs in Computer Science (MCS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (16 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    1. Introduction

      • Jeffrey R. Sampson
      Pages 1-3

  3. Information and automata

    1. Front Matter

      Pages 5-6
      Download chapter PDF

    2. Communication theory

      • Jeffrey R. Sampson
      Pages 7-15

    3. Coding information

      • Jeffrey R. Sampson
      Pages 16-24

    4. Finite automata

      • Jeffrey R. Sampson
      Pages 25-39

    5. Turing machines

      • Jeffrey R. Sampson
      Pages 40-55

    6. Cellular automata

      • Jeffrey R. Sampson
      Pages 56-66

  4. Biological Information Processing

    1. Front Matter

      Pages 67-68
      Download chapter PDF

    2. Biochemical coding and control

      • Jeffrey R. Sampson
      Pages 69-84

    3. Genetic information transmission

      • Jeffrey R. Sampson
      Pages 85-95

    4. Neural information transmission

      • Jeffrey R. Sampson
      Pages 96-106

    5. Neural input—output

      • Jeffrey R. Sampson
      Pages 107-117

    6. Computer simulation models

      • Jeffrey R. Sampson
      Pages 118-126

  5. Artificial intelligence

    1. Front Matter

      Pages 127-128
      Download chapter PDF

    2. Pattern recognition

      • Jeffrey R. Sampson
      Pages 129-145

    3. Game playing

      • Jeffrey R. Sampson
      Pages 146-159

    4. Theorem proving

      • Jeffrey R. Sampson
      Pages 160-174

    5. Problem solving

      • Jeffrey R. Sampson
      Pages 175-189

    6. Natural language processing

      • Jeffrey R. Sampson
      Pages 190-207
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Department of Computing Science, The University of Alberta, Edmonton, Canada

    Jeffrey R. Sampson

Bibliographic Information

  • Book Title: Adaptive Information Processing

  • Book Subtitle: An Introductory Survey

  • Authors: Jeffrey R. Sampson

  • Series Title: Monographs in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-85501-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1976

  • Softcover ISBN: 978-3-642-85503-0Published: 15 April 2012

  • eBook ISBN: 978-3-642-85501-6Published: 06 December 2012

  • Series ISSN: 0172-603X

  • Series E-ISSN: 2512-5486

  • Edition Number: 1

  • Number of Pages: X, 214

  • Topics: Computer Science, general

Publish with us

Policies and ethics

Back to top

Search

Navigation