Puzzles of Anthropic Reasoning Resolved Using Full Non-indexical Conditioning
Radford M. Neal

TL;DR
This paper resolves key puzzles in anthropic reasoning by advocating for Full Non-indexical Conditioning (FNC), which conditions on all evidence, providing consistent solutions to problems like the Sleeping Beauty and Doomsday arguments.
Contribution
It introduces FNC as a comprehensive approach to anthropic reasoning, unifying existing assumptions and resolving paradoxes without ad hoc assumptions.
Findings
FNC aligns with SSA and SIA under broad reference classes.
FNC resolves paradoxes like the Sleeping Beauty and Doomsday arguments.
Application of FNC to cosmology suggests new insights into the distribution of intelligent life.
Abstract
I consider the puzzles arising from four interrelated problems involving `anthropic' reasoning, and in particular the `Self-Sampling Assumption' (SSA) - that one should reason as if one were randomly chosen from the set of all observers in a suitable reference class. The problem of Freak Observers might appear to force acceptance of SSA if any empirical evidence is to be credited. The Sleeping Beauty problem arguably shows that one should also accept the `Self-Indication Assumption' (SIA) - that one should take one's own existence as evidence that the number of observers is more likely to be large than small. But this assumption produces apparently absurd results in the Presumptuous Philosopher problem. Without SIA, however, a definitive refutation of the counterintuitive Doomsday Argument seems difficult. I show that these problems are satisfyingly resolved by applying the principle…
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Taxonomy
TopicsCognitive Science and Mapping · Space Science and Extraterrestrial Life · Distributed Control Multi-Agent Systems
