Theory of mind as inverse reinforcement learning
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/10/01
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Indian UGC (journal)
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Refrences70
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Citations53
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Julian Jara-Ettinger
Cite
Jara-Ettinger, Julian. “Theory of Mind As Inverse Reinforcement Learning”. Current Opinion in Behavioral Sciences, vol. 29, 2019, pp. 105-10, https://doi.org/10.1016/j.cobeha.2019.04.010.
Jara-Ettinger, J. (2019). Theory of mind as inverse reinforcement learning. Current Opinion in Behavioral Sciences, 29, 105-110. https://doi.org/10.1016/j.cobeha.2019.04.010
Jara-Ettinger J. Theory of mind as inverse reinforcement learning. Current Opinion in Behavioral Sciences. 2019;29:105-10.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Philosophy
Psychology
Religion
Psychology
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Ten-month-old infants infer the value of goals from the costs of actions | Science |
| 92 | 2017 |
| People learn other people’s preferences through inverse decision-making | Cognition |
| 32 | 2017 |
| Learning a commonsense moral theory | Cognition |
| 31 | 2017 |
| Children understand that agents maximize expected utilities. | Journal of Experimental Psychology: General |
| 18 | 2017 |
| Neuroscience-Inspired Artificial Intelligence | Neuron |
| 650 | 2017 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Political reinforcement learners | Trends in Cognitive Sciences |
| 2024 | |
On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks | Scientific Reports |
| 2024 | |
| Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence | IEEE Access |
| 2024 | |
| Toward Safe and Efficient Human–Robot Interaction via Behavior-Driven Danger Signaling | IEEE Transactions on Control Systems Technology |
| 2024 | |
Computational Social Psychology | Annual Review of Psychology |
| 1 | 2024 |
Citations Analysis
The category
Philosophy. Psychology. Religion: Psychology 17
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A computational model of the cultural co-evolution of language and mindreading and was published in 2020. The most recent citation comes from a 2024 study titled Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence. This article reached its peak citation in 2023, with 20 citations. It has been cited in 45 different journals, 37% of which are open access. Among related journals, the IEEE Access cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.