The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines
Abstract
After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared view of the computational foundations of intelligence that promotes valuable cross-disciplinary exchanges on questions, methods, and results. We chart advances over the past several decades that address challenges of perception and action under uncertainty through the lens of computation. Advances include the development of representations and inferential procedures for large-scale probabilistic inference and machinery for enabling reflection and decisions about tradeoffs in effort, precision, and timeliness of computations. These tools are deployed toward the goal of computational rationality: identifying decisions with highest expected utility, while taking into consideration the costs of computation in complex real-world problems in which most relevant calculations can only be approximated. We highlight key concepts with examples that show the potential for interchange between computer science, cognitive science, and neuroscience.
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Citations
Cites
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Cited by
Building machines that learn and think like people
Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017) · Behavioral and Brain Sciences · doi:10.1017/s0140525x16001837 · Cited by 2,550
Self-citationCausability and explainability of artificial intelligence in medicine
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Kriegeskorte, N. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035447 · Cited by 1,093
Toward a rational and mechanistic account of mental effort
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Metadata
- Authors
- Gershman, S. J., Horvitz, E. J., & Tenenbaum, J. B.
- Venue
- Science
- Published
- 2015-07-17
- Volume
- 349
- Issue
- 6245
- Pages
- 273-278
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1892018222
- Cited by
- 673
- References
- 21
- FWCI
- 40.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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