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1989
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(1989): Survey of fairness notions. In: Information and Software Technology 31 (7), S. 371-386. DOI: 10.1016/0950-5849(89)90159-6
DOI: https://doi.org/10.1016/0950-5849(89)90159-6 Abstract: Fairness has been examined from different viewpoints and in varied semantic models, for example, CCS, guarded commands, Petri nets, and automata. Classification of fairness notions has been proposed in many formalisms, which have often required a suitable extension. Surprisingly, there still seems to be no general agreement on what fairness means and how it should be dealt with. One possible reason for this state of affairs is the multiplicity of semantic models used and the dependence of fairness on the intrinsic characteristics of these models, which makes it difficult to establish interrelationships between fairness notions. It is not uncommon to encounter criticism of fairness, and the need for the powerful methods that reasoning with fairness constraints has called for, for example, transfinite induction, is also questioned. This situation is clearly undesirable, and ways to provide better understanding of fairness, and perhaps a unified approach, should be sought. The paper reviews major issues in the area, the purpose being to present a taxonomy of notions of fairness and to discuss the main directions taken and the implications of choosing a particular approach. The object of this review is to identify common features of fairness definitions and to examine the adequacy, or, in some cases, the failure, of standard methods when applied to deal with fairness.
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