Computing Tomorrow: Future Research Directions in Computer Science

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This collection of original essays by distinguished computer scientists celebrates the achievements of research, and speculates about the unsolved problems in computer science which require future investigation. Since the subject stretches from new technology in the field, through engineering design to foundations in mathematics, there is a wide variety of concerns and approaches among the authors.It will be stimulating reading because it represents the views of prominent authorities who have had a significant impact on the direction of computer science in a country which has a long history of innovation, research and development in the subject.
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Editorial Reviews

Sixteen essays by computer scientists celebrate the achievements of research and speculate about the unsolved problems in computer science which require future investigation. The collection shows that long- term research is crucial and that it must not be driven solely by commercial considerations. Topics include prospects for artificial intelligence; large databases and knowledge re-use; the global-yet- personal information system; real-time computing; structured parallel programming, semantic ideas in computing; and interactive computing in tomorrow's computer science. Annotation c. Book News, Inc., Portland, OR (
From the Publisher
"...a refreshing introduction to alternative perspectives....Most of the contributions were both informative and entertaining."
Gregory V. Wilson, Dr. Dobb's Journal

"... eloquently written by well-known and well-respected scientists from both industry and academia..."
Sara Kalvala,

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Product Details

  • ISBN-13: 9780521103091
  • Publisher: Cambridge University Press
  • Publication date: 3/19/2009
  • Edition description: Reissue
  • Pages: 384
  • Product dimensions: 5.90 (w) x 9.00 (h) x 2.90 (d)

Table of Contents

1 The Complexity of Algorithms 1
2 Building Novel Software: the Researcher and the Marketplace 21
3 Prospects for Artificial Intelligence 33
4 Structured Parallel Programming: Theory meets Practice 49
5 Computer Science and Mathematics 66
6 Paradigm Merger in Natural Language Processing 88
7 Large Databases and Knowledge Re-use 110
8 The Global-yet-Personal Information System 127
9 Algebra and Models 158
10 Real-time Computing 188
11 Evaluation of Software Dependability 198
12 Engineering Safety-Critical Systems 217
13 Semantic Ideas in Computing 246
14 Computers and Communications 284
15 Interactive Computing in Tomorrow's Computer Science 295
16 On the Importance of Being the Right Size 321
References 336
Index 368
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