Advances in Information Systems Science

1. Front Matter

   Pages i-xv

   PDF

2. Theory of Algorithms and Discrete Processors

   • V. M. Glushkov, A. A. Letichevskii

   Pages 1-58

3. Programming Languages

   • Alfonso Caracciolo di Forino

   Pages 59-116

4. Formula Manipulation—The User’s Point of View

   • M. E. Engeli

   Pages 117-171

5. Engineering Principles of Pattern Recognition

   • Julius T. Tou

   Pages 173-249

6. Learning Control Systems

   • K. S. Fu

   Pages 251-292

7. Back Matter

   Pages 293-303

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Engineering has long been thought of by the public as a profession tra­ ditionally categorized into such branches as electrical, mechanical, chemical, industrial, civil, etc. This classification has served its purpose for the past half century; but the last decade has witnessed a tremendous change. A continuous transition from the practical to the theoretical has made technology overlap with science, and the enlargement of scope and broad­ ened diversification have smeared the boundaries between traditional engi­ neering and scientific fields. Engineering is rapidly becoming a diversified, multidisciplinary field of scientific endeavor. This has prompted us to regard modern engineering as a science, which has as its ingredients materials, energy, and information. In our complex and technologically-oriented society organizations are flooded with an enormous amount of management information. We are now faced with problems concerning the efficient use of communicated knowledge. The steady growth in the magnitude and complexity of informa­ tion systems necessitates the development of new theories and techniques for solving these information problems. We demand instant access to pre­ viously recorded information for decision making, and we require new meth­ ods for analysis, recognition, processing, and display. As a consequence, information science has evolved out of necessity. Concerned with the theoretical basis of the organization, control, stor­ age, retrieval, processing, and communication of information both by natural and artificial systems, information science is multidisciplinary in character. It covers a vast area of subject matter in the physical and biological sciences.

• Syntax
• algorithms
• classification
• complexity
• development
• growth
• information system
• language
• programming
• programming language
• science
• semantics
• simulation

• College of Engineering, University of Florida, Gainesville, USA

  Julius T. Tou

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