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Кластерная семантика для некоторых модальных и интуиционистских систем

Кластерная семантика для некоторых модальных и интуиционистских систем

Abstract

Рассматривается стратегия построения естественной семантики для ряда модальных и интуиционистских систем. Смысл модальных операторов, в том числе итерированных, а также смыл интуиционистских связок выражается при помощи кластеров – конечных множеств описаний состояний для формулы. Пересчет кластеров осуществляется посредством линейных арифметических функций. Все используемые понятия являются традиционными для логики.

Country
Russian Federation
Related Organizations
Keywords

возможный мир, модельные системы, интуиционистские системы, кластерная семантическая

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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