Stochastic grammars for intelligent software systems modeling

Authors:
Vasile Crăciunean
Affiliations:
Department for Computer Sciences and Economic Informatics, "Lucian Blaga" University of Sibiu, Sibiu, Romania
Venue:
MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Year:
2006

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Abstract

Developing a software system involves a sequence of operation classes like: gathering information from the activity field of the system; recognizing the captured information; integrating this information in the knowledgebase of the system; taking behavioral decisions that, based on his state of information, allow the system to find the solution for the given problem. Obviously software systems for problem solving must have the possibility of dynamic self information and decision correction. The stochastic generative grammar may be a useful tool for designing and developing such software systems.