activity
20152026
most citedToward Idealized Decision Theory

27 citations · 74 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2026

Views on AI Existential Risk Before and After a Public Event at Harvard University

Greg Kestin, Nate Soares

We report the results of identical pre- and post-event surveys given to attendees of a talk, two-sided conversation, and Q&A centered around the book If Anyone Builds It, Everyone…

cs.AI2017★ 24 cited

Functional Decision Theory: A New Theory of Instrumental Rationality

Eliezer Yudkowsky, Nate Soares

This paper describes and motivates a new decision theory known as functional decision theory (FDT), as distinct from causal decision theory and evidential decision theory. Function…

cs.LO2017★ 7 cited

A Formal Approach to the Problem of Logical Non-Omniscience

Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch +2

We present the logical induction criterion for computable algorithms that assign probabilities to every logical statement in a given formal language, and refine those probabilities…

cs.AI2016★ 10 cited

Logical Induction

Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch +2

We present a computable algorithm that assigns probabilities to every logical statement in a given formal language, and refines those probabilities over time. For instance, if the…

cs.AI2016★ 1 cited

Inductive Coherence

Scott Garrabrant, Benya Fallenstein, Abram Demski +1

While probability theory is normally applied to external environments, there has been some recent interest in probabilistic modeling of the outputs of computations that are too exp…

cs.LG2016★ 5 cited

Asymptotic Convergence in Online Learning with Unbounded Delays

Scott Garrabrant, Nate Soares, Jessica Taylor

We study the problem of predicting the results of computations that are too expensive to run, via the observation of the results of smaller computations. We model this as an online…