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Estimation of the algorithmic complexity of classes of computable models. / Павловский, Евгений Николаевич.
в: Siberian Mathematical Journal, Том 49, № 3, 05.2008, стр. 512-523.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Estimation of the algorithmic complexity of classes of computable models
AU - Павловский, Евгений Николаевич
PY - 2008/5
Y1 - 2008/5
N2 - We estimate the algorithmic complexity of the index set of some natural classes of computable models: finite computable models (Sigma(0)(2)-complete), computable models with omega-categorical theories (Delta(0)(omega)-complex Pi(0)(omega+2)-set), prime models (Delta(0)(omega)-complex Pi(0)(omega+2)-set), models with omega(1)-categorical theories (Delta(0)(omega)-complex Sigma(0)(omega+1)-set). We obtain a universal lower bound for the model-theoretic properties preserved by Marker's extensions (Delta(0)(omega)).
AB - We estimate the algorithmic complexity of the index set of some natural classes of computable models: finite computable models (Sigma(0)(2)-complete), computable models with omega-categorical theories (Delta(0)(omega)-complex Pi(0)(omega+2)-set), prime models (Delta(0)(omega)-complex Pi(0)(omega+2)-set), models with omega(1)-categorical theories (Delta(0)(omega)-complex Sigma(0)(omega+1)-set). We obtain a universal lower bound for the model-theoretic properties preserved by Marker's extensions (Delta(0)(omega)).
KW - computable model
KW - index set
U2 - 10.1007/s11202-008-0049-1
DO - 10.1007/s11202-008-0049-1
M3 - Article
VL - 49
SP - 512
EP - 523
JO - Siberian Mathematical Journal
JF - Siberian Mathematical Journal
SN - 0037-4466
IS - 3
ER -
ID: 18919714