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In previous chapters, the CSF is presented as a “black box” that encapsulates the rules and workings of the contest. This chapter explains the mechanisms behind this black box. This could include how efforts may translate, with some uncertainty, into performance, or a planner with given objectives such as designing a contest on television or procuring inputs for a firm. Additionally, the outcome of a conflict may be negotiated or decided by a jury once claims have been presented. Finally, the chapter explores the basic properties that a contest must have, such as the relationship between effort and probability of winning, and how these properties translate into different CSFs. This is known as the axiomatic approach. These different approaches are able to recover some of the main CSFs already presented in the previous chapter.
We present a new axiomatization of classical mereology in which the three components of the theory—ordering, composition, and decomposition principles—are neatly separated. The equivalence of our axiom system with other, more familiar systems is established by purely deductive methods, along with additional results on the relative strengths of the composition and decomposition axioms of each system.
If the information content of a complete finite probability scheme is greater than that of another such scheme in one measure of information, it seems reasonable to expect that this relation remains true in any other valid measure. In this paper Shannon and Rényi measures are discussed, regarding this aspect.
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