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We can imagine a society (call it the action-theoretic state of nature) getting by with only naive rationalization.
However, Zeevat (1989b) shows that essential aspects of this theory of presupposition can be captured using a model-theoretic information state rather than syntactic representations, albeit that the notion of information state becomes highly structured as a result.
The methodology presented here effectively integrates operating restrictions, information-theoretic requirements, and state-of-the-art optimization techniques to design minimum crest factor multisine signals meeting important user-specified time and frequency domain properties.
Yockey, who pioneered an information theory approach to the Central Dogma [6], applied the Shannon-Weaver communication model [1] to describe the flow of information from DNA to the amino acid sequence but did not provide a detailed information theoretic description of the folded state.
When we state the decision-theoretic norms in question, we state them in full generality.
So we want to state the decision-theoretic norms in a way that is neutral between these.
These are principles that state that the set theoretic universe as a whole is so rich that it is very similar to some set-sized initial segment of it.
However, the setting here is more general, and the results are stated in the measure theoretic category.
We then discuss implementation issues for parallel automata-theoretic model checking using this parallel state exploration algorithm.
These linear graphs are analysed using a graph-theoretic approach to derive reduced order state space models.
Ongoing work focuses on combining clinical insight with graph theoretic approaches to identify the resting-state language network of these patients.
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CEO of Professional Science Editing for Scientists @ prosciediting.com