Полное описание

Hofstedt, P. Multiparadigm Constraint Programming Languages / by Petra Hofstedt. - Electronic text data. - Berlin ; Heidelberg : Springer, 2011. - (Cognitive Technologies, ISSN 1611-2482). - URL: http://dx.doi.org/10.1007/978-3-642-17330-1. - Загл. с экрана. - ISBN 978-3-642-17330-1. - DOI 10.1007/978-3-642-17330-1. - Текст : электронный.
Содержание:
Basic Notions -- Programming Languages and Paradigms -- Constraints -- Multiparadigm Constraint Programming Languages -- Concurrent Constraint Functional Programming with CCFL -- A Generic Framework for Multiparadigm Constraint Programming -- Outlook -- References -- Index.

ГРНТИ	УДК
50.05.09	004.438

Рубрики:
computer science
computer programming
artificial intelligence
computer Science
artificial Intelligence (incl Robotics)
programming Techniques

Аннотация: 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.  .

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