Fairness is a convenient and popular tool when modelling and specifying
concurrent systems. A large variety of fairness notions exists in the
literature. However, in contrast to safety and liveness, there was no fully satisfactory abstract characterisation of fairness.
We give and justify a characterisation of fairness that is in line with the characterisations of safety and liveness given by Lamport, Alpern, and Schneider. We provide independent characterisations in terms of language-theory, game theory, and general topology.
Our characterisation of fairness gives rise to a notion of a "fairly correct" system: a system is fairly correct if there exists a --possibly strong--fairness assumption under which it is correct. Many distributed, especially fault-tolerant, systems are only fairly correct with respect to their actual specification since often, fully correct solutions are too expensive or do not exist.
We motivate this relaxation of correctness and compare it with the
probabilistic notion of an "almost correct" system, that is, a system that is correct with probability 1 for a given probability measure. While the two notions "fairly correct" and "almost correct" share many properties, they do not coincide in general.
The comparison of the two notions directly leads to pleasing results for the problem of automatically checking whether a finite-state system is fairly correct.
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