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Science is a sphere of human activity, which function is to elaborate and systematize objective knowledge of reality. The principle of objectivity requires the knowledge to be independent of the subject.  Yet it is impossible to exclude the very notion of "an observer", "subject", from the scientific paradigm, even in the case of the most formalized world description performed in physics.  For example, the presence of the subject in the relativity theory and quantum mechanics drastically affects the results of an experiment [1]. Direct objectives of scientific description, explanation and prediction of phenomena are the object of its study on the basis of the previously discovered laws. That means theoretical reflection of reality in certain models, as a rule, mathematical. For this very reason scientific knowledge must possess verification possibilities, i.e., the possibility of practical testing of theoretical predictions. However, to be predictive, the theory ought to encompass the object's complete description in terms of those properties that characterize it in the studied class of processes. We will call such a description "adequate/complete". The success of natural sciences had for the greatest part been predetermined by the fact that they had initially used the natural adequate property space in their explanation, which made it possible to consider all quantitative changes in all kinds of transformation processes in the objects, as well as discover the invariants (laws of conservation) in different instances of interaction.

 

Contents

 

Introduction

  1. Semantic space construction

  2. Object definition in semantic space

  3. Motivational space construction

  4. Summary

 

Appendix 1 (Characteristics of eigenvectors and eigenvalues)

Appendix 2 (Statistic definition of semantic axes)

Appendix 3 (Linguistic Aspects Of Semantic Analysis)

 

References

 

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