Conclusiveness of natural languages and recognition of images
The conclusiveness is investigated using recognition processes and one-one correspondence between expressions of a natural language and graphs representing events. The graphs, as conceived in psycholinguistics, are obtained as a result of perception processes. It is possible to generate and process the graphs automatically, using computers and then to convert the resulting graphs into expressions of a natural language. Correctness and conclusiveness of the graphs and sentences are investigated using the fundamental condition for events representation processes. Some consequences of the conclusiveness are discussed, e.g. undecidability of arithmetic, human brain assymetry, correctness of statistical calculations and operations research. It is suggested that the group theory should be imposed on mathematical models of any real system. Proof of the fundamental condition is also presented. 14 references.
- Research Organization:
- Polish Acadamy of Sci., Warsaw, Poland
- OSTI ID:
- 5070925
- Journal Information:
- Cybern . Syst.; (United States), Vol. 1
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
NATURAL LANGUAGE
ARTIFICIAL INTELLIGENCE
BRAIN
GROUP THEORY
MAN
OPERATIONS RESEARCH
PATTERN RECOGNITION
PSYCHOLOGY
ANIMALS
BODY
CENTRAL NERVOUS SYSTEM
MAMMALS
MATHEMATICS
NERVOUS SYSTEM
ORGANS
PRIMATES
PROGRAMMING LANGUAGES
VERTEBRATES
990200* - Mathematics & Computers