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Naturalismo e soggettività

Authors: PATERNOSTER, Alfredo;

Naturalismo e soggettività

Abstract

Metaphysical naturalism (in the philosophy of mind) is the thesis according to which mental states can be reduced to, and thereby explained by, neurophysiological states. In this paper I discuss whether this thesis is plausible taking into consideration different kinds of mental states: propositional attitudes, on the one hand, and phenomenal states, on the other. I shall argue that, while metaphysical naturalism is false for standard propositional attitudes (beliefs, desires etc.), it can be defended in the case of low-level phenomenal states, or raw feelings. As a consequence, since the instantiation of high-order mental states requires the neurophysiological mechanisms that constitute raw feelings, the notion of self has a biological basis, and in this sense, we can speak of a “natural self”. The structure of the paper is the following. In the first paragraph I shall focus on the naturalization of paradigmatic intentional states (beliefs and desires). In the second paragraph I move to the discussion of raw feelings and show the consequences of my view for the notion of self.

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Italy
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Keywords

self, naturalism, intentional states

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green