Subjective Experience, Artificial Intelligence and the Problem of Sense Modeling

This article explores the symbol of grounding problem in the framework of artificial intelligence, the AI. The author explicitly demonstrates that values are one of the most pronounced parameters of differentiation the subjective perspective from the objective. The research applies a problem of computer formalization of the meaning. As a result the article shows that explanatory opportunities of science are far from the opportunities that supposed to be used for study the mental facts. It is assumed that this is not due to flawless of the method, but because of the peculiarity of the «subject». In this case, subjective experience is presumably significantly associated with nature of values. In this sense, the use of the reducing strategies as the scientific method does not allow to approach the first-person experience and consciousness, but only their mental correlates. To demonstrate this idea the author involve the notion of values to show a significant role of subjective affectation, as grounds for stopping the infinite regress of meanings that occurs when a purely linguistic procedure is applied.

субъективный опыт, искусственный интеллект, проблема обоснования значений, смысл, ценности, first-person access, валюа-тивность, синтаксис, семантика, бесконечный регресс оснований, тотальный тест Тюринга, робот, программа, компьютеционализм, аффектация, subjective experience, artificial intelligence, the symbol grounding problem, meaning, values, first-person access, syntax, semantics, infinite regress of reasons, the total Turing test, robot, program, computationalism, affectation

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