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Empirical Foundations of Information and Software Science

  • Jagdish C. Agrawal
  • Pranas Zunde

Table of contents

  1. Front Matter
    Pages i-ix
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Jagdish C. Agrawal, Pranas Zunde
      Pages 1-2
  3. Symposium Opening Addresses

    1. Front Matter
      Pages 3-3
    2. Albert P. Sheppard
      Pages 3-6
  4. Information Value

  5. Information in Interactive Context

  6. Aids for Man-Machine Interaction

  7. Assessment of Information Effects

  8. Software Metrics

    1. Front Matter
      Pages 209-209
    2. S. S. Iyengar, F. B. Bastani, J. W. Fuller
      Pages 225-239
  9. Information Mapping and Retrieval

    1. Front Matter
      Pages 263-263
  10. Methodological Issues

    1. Front Matter
      Pages 293-293
    2. B. J. MacLennan
      Pages 311-319
    3. Michael Richter
      Pages 321-342
  11. SOftware and System Models

  12. Software Tools and Techniques

    1. Front Matter
      Pages 371-371
    2. Mark A. Jones, Alex Silverman
      Pages 373-379
  13. Workshops

    1. Front Matter
      Pages 399-399
    2. Jagdish C. Agrawal, Pranas Zunde
      Pages 401-406
  14. Back Matter
    Pages 413-415

About this book

Introduction

The purpose of the Second Symposium on Empirical Foundations of Informa­ tion and Software Science (EFISS) was, in essence, the same as that of the First Symposium in this series, i. e. to explore subjects and methods of sci­ entific inquiry which are of fundamental and common interest to information and software sciences, and to map directions of research that will benefit from the mutual interaction of these two fields. In fact, one of the most important results of the First EFISS Symposium was the conclusion that the commonality of these two sciences is much more than just the commonality of their objects of study, namely, the study of informative and prescriptive properties of texts in all kinds of sign sys­ tems (such as natural or artificial languages). Rather, the most challeng­ ing problems appear to be in the areas in which both these sciences overlap, such as, for instance, the problem of trade-offs between informative and prescriptive uses of texts. This problem can be formulated in generic terms as follows: given a certain kind of action or activity which has been pre­ scribed to some agent, i. e. which is required to be implemented or carried out, what kind of information should be provided to the agent, in what form, and how should it be distributed over the contextual structure of the pre­ scriptive text to enable the agent to carry out the action or activity most effectively and efficiently.

Keywords

Design compiler complexity computer science entropy experiment information interaction programming language research

Editors and affiliations

  • Jagdish C. Agrawal
    • 1
  • Pranas Zunde
    • 2
  1. 1.U.S. Army Institute for Research in Management, Information, and Computer SciencesGeorgia Institute of TechnologyAtlantaUSA
  2. 2.School of Information and Computer ScienceGeorgia Institute of TechnologyAtlantaUSA

Bibliographic information