DocumentCode :
1572351
Title :
Control Network Programming Illustrated: Solving Problems with Inherent Graph-Like Representation
Author :
Kratchanov, Kostadin ; Golemanova, Emilia ; Golemanov, Tzanko
fYear :
2008
Firstpage :
453
Lastpage :
459
Abstract :
Control network programming (CNP) is a style of high-level programming created to be especially convenient for solving problems with natural graph-like representation. Showing that this goal has been achieved is the purpose of the current report. CNP solutions to four problems representative of four important problem classes are presented. Most of the problem descriptions are nondeterministic and declarative, without specifying an algorithmic solution. These natural problem descriptions are easily converted into working control network programs.
Keywords :
distributed programming; control network programming; graph-like representation; high-level programming; Animals; Computer networks; Computer science; Control systems; Educational institutions; Humans; Information science; Merging; Programming profession; Tree graphs; Artificial Intelligence; Control network programming; Declarative programming; Graph-like problem representation; Nondeterministic algorithms; Programming; Programming languages; Programming paradigms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-0-7695-3131-1
Type :
conf
DOI :
10.1109/ICIS.2008.71
Filename :
4529861
Link To Document :
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