Principles of artificial intelligence
Principles of artificial intelligence
Rule based contextual post-processing for Devanagari text recognition
Pattern Recognition
Image segmentation by syntactic method
Pattern Recognition
Simulation of phonemic errors using artificial intelligence symbol processing techniques
ANSS '84 Proceedings of the 17th annual symposium on Simulation
A Review Of Artificial Intelligence In Simulation
ACM SIGART Bulletin
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Discrete sequential processes consist of sequences of actions or symbols, each of which is often associated with a relative frequency of occurrence. Since correct and incorrect sequences can be identified by formal bottom-up parsing techniques, a top-down approach can be used in conjunction with a stochastic grammar to generate sequences in a simulation environment. Such an approach combines recognition and simulation of sequences and is particularly useful when test patterns are needed for a complex recognition system. This paper presents a Prolog-based simulation system wherein the productions of a stochastic grammar are expressed in an English-like IF-THEN format so they can easily be edited to simulate parsing errors leading to incorrect sequences. Applications involving simulated errors in communication systems are discussed.