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AI in Search of the Origins of HI (Human@Intelligence)
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uŽt F Prof. dr Andre Wlodarczyk (UNIVERSITY Charles-de-Gaulle)
Ži‰οF ‰ͺ“c ’Ό”V i‹γH‘εj

ABSTRACT:
    Although the discovery procedure for research on unknown symbolic (=semiotic) systems is yet to be found, we present a general method aimed to demonstrate the existence of common structural features in the paintings and engravings of most French and Spanish Palaeolithic caves. We believe that this method is not specific to the European Palaeolithic Cave Art and might be applied to the other rock arts. Our approach should not be related to the decipherment of unknown writing systems. The following scientific fields and methods are discussed: 1. Structural semiotics (semantic oppositions, communication system), 2. Statistical Data Analysis (Factor Analysis and Clustering Algorithms), 3. Natural Language Processing (Language Parsing and Grammar Inference), 4. Knowledge Discovery from databases (Rough Set Approximation), 5. Statistical Comparative Approach (Comparison of palaeolithical rock art with ethnological data from Africa and Australia).