
TL;DR
This paper introduces a generalized theory of desirability applicable to various objects like gambles, propositions, or preferences, using an abstract framework to model and infer beliefs about desirability.
Contribution
It extends the theory of desirable gambles to a broader concept of desirable things, providing a unified framework with representation results for different model types.
Findings
Models can be represented by sets of desirable things.
Two types of models are introduced: sets of desirable things and sets of desirable sets.
The latter can be represented by the former.
Abstract
Inspired by the theory of desirable gambles that is used to model uncertainty in the field of imprecise probabilities, I present a theory of desirable things. Its aim is to model a subject's beliefs about which things are desirable. What the things are is not important, nor is what it means for them to be desirable. It can be applied to gambles, calling them desirable if a subject accepts them, but it can just as well be applied to pizzas, calling them desirable if my friend Arthur likes to eat them. Other useful examples of things one might apply this theory to are propositions, horse lotteries, or preferences between any of the above. Regardless of the particular things that are considered, inference rules are imposed by means of an abstract closure operator, and models that adhere to these rules are called coherent. I consider two types of models, each of which can capture a…
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Taxonomy
TopicsBayesian Modeling and Causal Inference · Decision-Making and Behavioral Economics
