Computational rationality: A converging paradigm for intelligence in brains, minds, and machines
By Samuel J. Gershman, Eric Horvitz, Josh Tenenbaum. 2015
697 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Decision Sciences
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
- Wojciech Samek
- K. Müller
- Grgoire Montavon
- Sebastian Lapuschkin
- Yoshua Bengio
- Sergey Levine
- Alexander Binder
- Yonatan Belinkov
In General Decision Sciences
- Samuel J. Gershman
- Falk Lieder
- Pedro A. Ortega
- Naftali Tishby
- Nathaniel D. Daw
- T. Griffiths
- Daniel A. Braun
- Todd M. Gureckis
Citations in the corpus
- Unmasking Clever Hans predictors and assessing what machines really learn (2019, background): “A further important aspect of human intelligence termed computational rationality was discussed in [69].”
- Adolescent risk-taking in the context of exploration and social influence (2021, background): “Studying learning of artificial agents provides a laboratory for understanding the dynamics in human learning as well (Gershman et al., 2015; Rahwan et al., 2019).”
- Cognitive Architectures for Language Agents (2023, methodology): “This has analogs to the “value of computation” studied in human metareasoning (Lieder and Griffiths, 2020; Callaway et al., 2022; Gershman et al., 2015).”
- Information-Theoretic Bounded Rationality (2015, background): “This view has recently experienced a revival in computational neuroscience under the name of computational rationality [Lieder et al., 2014, Lewis et al., 2014, Griffiths et al., 2015, Gershman et al., 2015].”
- Lessons for artificial intelligence from the study of natural stupidity (2019, background): “These case studies from psychology may be useful guides to machine learning researchers as they seek to achieve effective inference under computational resource constraints 62 .”
- The Theory-Based View: Economic Actors as Theorists (2017, neutral): “…do not happen based on the actual nature or characteristics of stimuli or objects themselves—as argued by some (Kahneman, 2003; also see Geisler, 2011; Gershman et al., 2015)—but rather it happens on the basis of the questions and theories that economic actors impose on situations and environments.”