Non-Ideal Decision Theory

Dissertation, University of California, Berkeley (2023)
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Abstract

My dissertation is about Bayesian rationality for non-ideal agents. I show how to derive subjective probabilities from preferences using much weaker rationality assumptions than other standard representation theorems. I argue that non-ideal agents might be uncertain about how they will update on new information and consider two consequences of this uncertainty: such agents should sometimes reject free information and make choices which, taken together, yield sure loss. The upshot is that Bayesian rationality for non-ideal agents makes very different normative demands than ideal Bayesian rationality.

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Sven Neth
University of Pittsburgh

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References found in this work

The Logic of Decision.Richard C. Jeffrey - 1965 - New York, NY, USA: University of Chicago Press.
Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - New York, NY.: Oxford University Press UK.
Superintelligence: paths, dangers, strategies.Nick Bostrom (ed.) - 2014 - Oxford University Press.
Transformative Experience.Laurie Ann Paul - 2014 - Oxford, GB: Oxford University Press.

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