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Measure Selection: Notions of Rationality and Representation Independence

We take another look at the general problem of selecting a preferred probability measure among those that comply with some given constraints. The dominant role that entropy maximization has obtained in this context is questioned by arguing that the minimum information principle on which it is based could be supplanted by an at least as plausible "likelihood of evidence" principle. We then review a method for turning given selection functions into representation independent variants, and discuss the tradeoffs involved in this transformation.

preprint2013arXivOpen access
Manfred Jaeger
Artificial Intelligence
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Manfred Jaeger

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