Programming language concepts and paradigms
Programming language concepts and paradigms
Artificial intelligence (3rd ed.)
Artificial intelligence (3rd ed.)
The anatomy of programming languages
The anatomy of programming languages
Formal Concepts in Artificial Intelligence Foundations
Formal Concepts in Artificial Intelligence Foundations
Control Network Programming Illustrated: Solving Problems with Inherent Graph-Like Representation
ICIS '08 Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
Spider vs. Prolog: simulating Prolog in Spider
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Spider vs. Prolog: computation control
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Control network programming with SPIDER: dynamic search control
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Non-procedural implementation of local heuristic search in control network programming
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Using control network programming in teaching nondeterminism
Proceedings of the 13th International Conference on Computer Systems and Technologies
| Hi-index | 0.00 |
Control Network Programming (CNP) is a programming paradigm that is especially convenient for representing problems with a natural graph-like description. This description is often of nondeterministic nature. The report continues the discussion from [1] on how a CN program is interpreted and executed. The basic algorithm of the interpreter is presented. It is followed by a discussion of the so called system options - these are powerful means for user control of the execution process.