The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Naïve Utility Calculus: Computational Principles Underlying Commonsense Psychology
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Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
The processes of causal attribution.
Kelley, H. H. (1973) · American Psychologist · doi:10.1037/h0034225 · Cited by 4,025 · cited 1×
“inferred as part of explaining an agent’s actions, similar to classic attribution theories [52].”
BackgroundHow to grow a mind: Statistics, structure, and abstraction
Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011) · Science · doi:10.1126/science.1192788 · Cited by 1,815
Self-citationSocial evaluation by preverbal infants
Hamlin, J. K., Wynn, K., & Bloom, P. (2007) · Nature · doi:10.1038/nature06288 · Cited by 1,566
Gopnik, A., & Meltzoff, A. N. (1997) · doi:10.7551/mitpress/7289.001.0001 · Cited by 1,479
Why the child’s theory of mind really is a theory
GOPNIK, A., & WELLMAN, H. M. (1992) · Mind & Language · doi:10.1111/j.1468-0017.1992.tb00202.x · Cited by 1,158
Action Anticipation Through Attribution of False Belief by 2-Year-Olds
Southgate, V., Senju, A., & Csibra, G. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01944.x · Cited by 1,066
False-belief understanding in infants
Baillargeon, R., Scott, R. M., & He, Z. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.12.006 · Cited by 1,030
Predicting pragmatic reasoning in language games
Frank, M. C., & Goodman, N. D. (2012) · Science · doi:10.1126/science.1218633 · Cited by 868
Probabilistic models of cognition: exploring representations and inductive biases
Griffiths, T. L., Chater, N., Kemp, C., Perfors, A., & Tenenbaum, J. B. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.004 · Cited by 568
Self-citationCan a Self-Propelled Box Have a Goal?: Psychological Reasoning in 5-Month-Old Infants
Luo, Y., & Baillargeon, R. (2005) · Psychological Science · doi:10.1111/j.1467-9280.2005.01582.x · Cited by 406 · cited 1×
“Abilities attributed to agents (but not to objects or physical forces) include the ability to engage in self-generated movement [4,68,69], the ability to resist gravity [70], the ability to cause objects to move or change state [71,72], the ability to create order [73], the ability to generate patterns [74], and the a…”
Background
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-citationTen-month-old infants infer the value of goals from the costs of actions
Liu, S., Ullman, T. D., Tenenbaum, J. B., & Spelke, E. S. (2017) · Science · doi:10.1126/science.aag2132 · Cited by 230
Self-citationRational use of cognitive resources in human planning
Callaway, F., van Opheusden, B., Gul, S., Das, P., Krueger, P. M., Griffiths, T. L., & Lieder, F. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01332-8 · Cited by 121
Toward an integration of deep learning and neuroscience
Marblestone, A. H., Wayne, G., & Kording, K. P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00094 · Cited by 119
Establishing Appropriate Trust via Critical States
Huang, S. H., Bhatia, K., Abbeel, P., & Dragan, A. D. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593649 · Cited by 94
Metadata
- Authors
- Jara-Ettinger, J., Gweon, H., Schulz, L. E., & Tenenbaum, J. B.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 20
- Issue
- 8
- Pages
- 589-604
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2474590732
- Cited by
- 328
- References
- 11
- FWCI
- 4.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
