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The paper derives various sufficient conditions for a set of conditional preferences to be consistent, along with algorithmic techniques for checking such conditions and hence confirming consistency.
A simple logic of conditional preferences is defined, with a language that allows the compact representation of certain kinds of conditional preference statements, a semantics and a proof theory.
These techniques can also be used for totally ordering outcomes in a way that is consistent with the set of preferences, and they are further developed to give an approach to the problem of constrained optimisation for conditional preferences.
Conditional preferences allow modelling doxastic preference change.
Such expectations result in behavior that reinforces them, but a crucial element in sustaining the norm is the presence of conditional preferences for conformity.
Having conditional preferences means that one may follow a norm in the presence of the relevant expectations, but disregard it in its absence.
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Conditional preference networks (CP-nets) have recently emerged as a popular language capable of representing ordinal preference relations in a compact and structured manner.
A conditional preference as Stirling defines it is a preference that is influenced by information about the preferences of (specified) others.
This operation produces the non-conditional preferences of individual i ex post that is, updated in light of her conditional concordant preferences and the information on which they are conditioned, namely, the conditional concordant preferences of the team.
Individual team members each calculate the team preference by aggregating conditional concordant preferences.
At present, we know little about the impact of incorporating conditional health preferences on societal decisions and how to implement their incorporation.
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