Fairness, Computable Fairness and Randomness

Manfred Jaeger

Motivated by the observation that executions of a probabilistic system almost surely are fair,
we interpret concepts of fairness for nondeterministic processes as partial descriptions  of probabilistic
behavior. We propose computable fairness as a very strong concept of fairness, attempting to  capture
all the qualitative properties of probabilistic behavior that we might reasonably expect to see in the behavior
of a nondeterministic system. It is shown that computable fairness does describe probabilistic
behavior by proving that runs of a probabilistic system almost surely are computable fair. We then turn to
the question of how sharp an approximation of randomness is obtainedby computable fairness by discussing
completeness of computable fairness for certain classes of path properties.
 

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