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Multiparadigm Constraint Programming Languages (cognitive Technologies) Hardback - 2011 - 2011th Edition
by Petra Hofstedt
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Details
- Title Multiparadigm Constraint Programming Languages (cognitive Technologies)
- Author Petra Hofstedt
- Binding Hardback
- Edition number 2011th
- Edition 2011
- Condition New
- Pages 180
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2011-06-17
- Features Bibliography, Index, Table of Contents
- Bookseller's Inventory # BIBNNA-158472
- ISBN 9783642173295 / 3642173292
- Weight 0.9 lbs (0.41 kg)
- Dimensions 9.2 x 6.1 x 0.6 in (23.37 x 15.49 x 1.52 cm)
- Category Computers - General Information
- Dewey Decimal Code 005.11
- Quantity available 1
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From the publisher
From the rear cover
Programming languages are often classified according to their paradigms, e.g. imperative, functional, logic, constraint-based, object-oriented, or aspect-oriented. A paradigm characterizes the style, concepts, and methods of the language for describing situations and processes and for solving problems, and each paradigm serves best for programming in particular application areas. Real-world problems, however, are often best implemented by a combination of concepts from different paradigms, because they comprise aspects from several realms, and this combination is more comfortably realized using multiparadigm programming languages.
This book deals with the theory and practice of multiparadigm constraint programming languages. The author first elaborates on programming paradigms and languages, constraints, and the merging of programming concepts which yields multiparadigm (constraint) programming languages. In the second part the author inspects two concrete approaches on multiparadigm constraint programming - the concurrent constraint functional language CCFL, which combines the functional and the constraint-based paradigms and allows the description of concurrent processes; and a general framework for multiparadigm constraint programming and its implementation, Meta-S.
The book is appropriate for researchers and graduate students in the areas of programming and artificial intelligence.
