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Social reasoning necessitates the capacity of theory of mind (ToM), the ability to contextualise and attribute mental states to others without having access to their internal cognitive structure.
Does the chimpanzee have a theory of mind?
Premack, D.; and Woodruff, G. 1978 · 1978
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Beliefs about beliefs: Representation and constraining function of wrong beliefs in young childrenś understanding of deception
Wimmer, H.; and Perner, J. 1983 · 1983
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Does the autistic child have a ”theory of mind” ?
Baron-Cohen, S.; Leslie, A. M.; and Frith, U. 1985 · 1985
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Improving generalization for temporal difference learning: The successor representation
Dayan, P. 1993 · 1993
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Implicit understanding of belief
Clements, W. A.; and Perner, J. 1994 · 1994
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Mirror neurons and the simulation theory of mind-reading
Gallese, V.; and Goldman, A. 1998 · 1998
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Do 15-month-old infants understand false beliefs?
Onishi, K. H.; and Baillargeon, R. 2005 · 2005
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Do humans have two systems to track beliefs and belief-like states?
Apperly, I. A.; and Butterfill, S. A. 2009 · 2009
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A probabilistic plan recognition algorithm based on plan tree grammars
Geib, C. W.; and Goldman, R. P. 2009 · 2009
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Bayesian theory of mind: Modeling joint belief-desire attribution
Baker, C.; Saxe, R.; and Tenenbaum, J. 2011 · 2011
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18-month-olds predict specific action mistakes through attribution of false belief, not ignorance, and intervene accordingly
Knudsen, B.; and Liszkowski, U. 2012 · 2012
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End-to-end memory networks
Sukhbaatar, S.; Weston, J.; Fergus, R.; et al. 2015 · 2015
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Hybrid computing using a neural network with dynamic external memory
Graves, A.; Wayne, G.; Reynolds, M.; Harley, T.; Danihelka, I.; Grabska-Barwińska, A.; Colmenarejo, S. G.; Grefenstette, E.; Ramalho, T.; Agapiou, J.; et al. 2016 · 2016
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Meta-learning with memory-augmented neural networks
Santoro, A.; Bartunov, S.; Botvinick, M.; Wierstra, D.; and Lillicrap, T. 2016 · 2016
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Plan Recognition as Planning Revisited
Sohrabi, S.; Riabov, A. V.; and Udrea, O. 2016 · 2016
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Rational quantitative attribution of beliefs, desires and percepts in human mentalizing
Baker, C. L.; Jara-Ettinger, J.; Saxe, R.; and Tenenbaum, J. B. 2017 · 2017
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How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
Grant, E.; Nematzadeh, A.; and Griffiths, T. L. 2017 · 2017
Machine theory of mind
Rabinowitz, N.; Perbet, F.; Song, F.; Zhang, C.; Eslami, S. A.; and Botvinick, M. 2018 · 2018
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Revisiting the evaluation of theory of mind through question answering
Le, M.; Boureau, Y.-L.; and Nickel, M. 2019 · 2019
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Systematic review and inventory of theory of mind measures for young children
Beaudoin, C.; Leblanc, É.; Gagner, C.; and Beauchamp, M. H. 2020 · 2020
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Theory of mind and decision science: towards a typology of tasks and computational models
Rusch, T.; Steixner-Kumar, S.; Doshi, P.; Spezio, M.; and Gläscher, J. 2020 · 2020
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Textual Time Travel: A Temporally Informed Approach to Theory of Mind
Arodi, A.; and Cheung, J. C. K. 2021 · 2021
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Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
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Learning to remember rare events
Kaiser, Ł.; Nachum, O.; Roy, A.; and Bengio, S. 2017 · 2017
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Towards a computational analogical theory of mind
Rabkina, I.; McFate, C.; Forbus, K. D.; and Hoyos, C. 2017 · 2017
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Cognitive load measurement and application
Zheng, R. Z. 2017 · 2017
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Minimalistic Gridworld Environment for OpenAI Gym
Chevalier Boisvert, M.; Willems, L.; and Pal, S. 2018 · 2018
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Evaluating Theory of Mind in Question Answering
Nematzadeh, A.; Burns, K.; Grant, E.; Gopnik, A.; and Griffiths, T. L. 2018 · 2018
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Gandhi, K.; Stojnic, G.; Lake, B. M.; and Dillon, M. R. 2021 · 2021
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Model-based episodic memory induces dynamic hybrid controls
Le, H.; George, T. K.; Abdolshah, M.; Tran, T.; and Venkatesh, S. 2021 · 2021
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Theory of Mind From Observation in Cognitive Models and Humans
Nguyen, T. N.; and Gonzalez, C. 2021 · 2021
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Agent: A benchmark for core psychological reasoning
Shu, T.; Bhandwaldar, A.; Gan, C.; Smith, K.; Liu, S.; Gutfreund, D.; Spelke, E.; Tenenbaum, J.; and Ullman, T. 2021 · 2021
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Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review
Langley, C.; Cirstea, B. I.; Cuzzolin, F.; and Sahakian, B. J. 2022 · 2022
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