Relativistic Psychometrics in Subjective Scaling

The article announces the possibilities of semantic modeling in the development of feedback tools in social sciences. A new approach to the computational theory of perceptions (CTP) for analysis of mental object is proposed. The article demonstrates the implementation of relativistic psychometrics for the study of mental response (opinions, expectations and attitudes). The problem of image understanding and its significance is considered in combination of soft and hard computing. It is shown that the modeling of object (its coding and decoding in 'mental map') obeys the semiotic and mathematical logic. Computing with perceptions for the rules of mental representation proves their identity to the laws of conservation. The article demonstrates the versatility of the semiotic description of objects in Minkowski space. It also confirms by mathematical solution C. S. Peirce's metaphor, according to which the semiology of language is a truly universal algebra of relations.