Rationality and Intelligence: A Brief Update
By Stuart J. Russell. 2013
68 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sergey Levine
- Pieter Abbeel
- Nando de Freitas
- Ziyun Wang
- Yoshua Bengio
- Chelsea Finn
- Quoc V. Le
- Ruslan Salakhutdinov
In Computational Theory and Mathematics
- Ziyun Wang
- Nando de Freitas
- Matthew W. Hoffman
- Bobak Shahriari
- Sergio Gomez Colmenarejo
- Serkan Cabi
- Gabriel Barth-Maron
- Bilal Piot
In Management Science and Operations Research
- Ziyun Wang
- Matthew W. Hoffman
- Bobak Shahriari
- Nando de Freitas
- Sergio Gomez Colmenarejo
- Gabriel Barth-Maron
- Bilal Piot
- Caglar Gulcehre
Citations in the corpus
- Acme: A Research Framework for Distributed Reinforcement Learning (2020, background): “Reinforcement learning (RL) provides an elegant formalization of the problem of intelligence (Russell, 2016; Sutton and Barto, 2018).”
- Occam's razor is insufficient to infer the preferences of irrational agents (2017, background): “The related ideas of meta-reasoning [Russell, 2016], computational rationality [Lewis et al., 2014] and resource rationality [Griffiths et al., 2015] may create the possibility to redefine irrational behavior as rational in an ‘ancestral’ distribution of environments where the agent optimises its…”
- The Relations of Gender and Personality Traits on Different Creativities: A Dual-Process Theory Account (2012, background): “Further, the two conceptions are different in malleability that might be affected by long- or short-term practice (Baron, 1985).”