Titlebook: Magnetic Resonance Imaging; Methods and Biologic Pottumarthi V. Prasad Book 2006 Humana Press 2006 Tumor.brain.functional magnetic resonanc

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ogics;logics of proof and justification; non-monotonic reasoning; logic in gametheory and social software; logic of hybrid systems; distributed system logics;mathematical fuzzy logic; system de978-3-319-27682-3978-3-319-27683-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Donald S. Williamsour strong expectation that these results are just the tip of the iceberg of interesting applications of parameterized complexity theory to logic and linguistics. Our main results are as follows. (1) The problem of determining whether a word . can be derived in . steps in a context-sensitive grammar

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Ikuhiro Kida,Fahmeed Hyderour strong expectation that these results are just the tip of the iceberg of interesting applications of parameterized complexity theory to logic and linguistics. Our main results are as follows. (1) The problem of determining whether a word . can be derived in . steps in a context-sensitive grammar

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Pottumarthi V. Prasad epistemic and temporal logics; intelligent and multiple agent system logics; logics of proof and justification; nonmonotonic reasoning; logic in game theory and social software; logic of hybrid systems; distributed system logics; mathematical fuzzy logic; system design logics; and other logics in c

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Michael Hornsive functions even without the additional information. However, the results of our paper show exactly the opposite rating for the capabilities of learning programs not exceeding the size given by the bound..For finite identification it is still possible to identify small programs with additional in

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sive functions even without the additional information. However, the results of our paper show exactly the opposite rating for the capabilities of learning programs not exceeding the size given by the bound..For finite identification it is still possible to identify small programs with additional in

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Arvind P. Pathaksive functions even without the additional information. However, the results of our paper show exactly the opposite rating for the capabilities of learning programs not exceeding the size given by the bound..For finite identification it is still possible to identify small programs with additional in