Pith. sign in

REVIEW 1 cited by

Anthropic decision theory

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1110.6437 v3 pith:A452UO2K submitted 2011-10-28 physics.data-an cs.AIhep-thphysics.pop-ph

classification physics.data-ancs.AIhep-thphysics.pop-ph
keywords anthropicproblemsdecisionagentstheoryaccountaltruisticapplied
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

This paper sets out to resolve how agents ought to act in the Sleeping Beauty problem and various related anthropic (self-locating belief) problems, not through the calculation of anthropic probabilities, but through finding the correct decision to make. It creates an anthropic decision theory (ADT) that decides these problems from a small set of principles. By doing so, it demonstrates that the attitude of agents with regards to each other (selfish or altruistic) changes the decisions they reach, and that it is very important to take this into account. To illustrate ADT, it is then applied to two major anthropic problems and paradoxes, the Presumptuous Philosopher and Doomsday problems, thus resolving some issues about the probability of human extinction.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Inference by Multiple Identical Observers

    math.PR 2024-11 accept novelty 7.0 of 10

    A new probability framework shows the Sleeping Beauty 1/3 and 1/2 answers arise from two incompatible sets of principles, with no measure satisfying all four.

Pith tools