Abstract not found

What can optical spectroscopy contribute to understanding protein dynamics?

We introduce a framework designed to mathematically study and model the ‘evolvability ’ of entities. Our use of ‘evolvability ’ is different than the one found in the context of biology. We roughly understand an entity as being ‘evolvable ’ if, with non-negligible probability, it can arise as the result of an evolutionary process. However, this is not a formal definition. An essential part of our work is to examine how one may arrive at a formal definition for evolvability. The exact definition will depend on one’s application of interest. With such a definition in hand one may approach questions like “is there a mechanism that can make such-and-such entities co-evolve under such-andsuch initial conditions, with non-negligible probability, in a non-astronomical amount of time? ” Ultimately, we are interested in assessing the power of a given evolutionary process in terms of the evolutionary products it can give rise to, the conditions and resources necessary for this to happen, and the respective probabilities of those events. Acknowledgements

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Automata on flows

A Konolige bridge between default logic and autoepistemic logic

Toward an evolutionary linguistic theory

1.1.1 A partition theory of questions............... 3

Using institutional data on race-specific college enrollment and completion, I examine whether minority students were less likely to enroll in a four-year public college or receive a degree following a statewide affirmative action ban. As in previous studies, I find that black and Hispanic enrollment dropped at the top

Abstract not found