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Theory of mind (ToM; Premack & Woodruff, 1978) broadly refers to humans' ability to represent the mental states of others, including their desires, beliefs, and intentions.
Iterative solution of games by fictitious play
Brown, George W · 1951
Earlier work this paper cites.
The intentional stance
Dennett, Daniel Clement · 1973
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Does the chimpanzee have a theory of mind?
Premack, David and Woodruff, Guy · 1978
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Beyond question answering
Cohen, Philip R, Perrault, C Raymond, and Allen, James F · 1981
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Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children’s understanding of deception
Wimmer, Heinz and Perner, Josef · 1983
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Does the autistic child have a “theory of mind”?
Baron-Cohen, Simon, Leslie, Alan M, and Frith, Uta · 1985
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Folk psychology as simulation
Gordon, Robert M · 1986
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Pretense and representation: The origins of” theory of mind.”
Leslie, Alan M · 1987
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Children’s understanding of representational change and its relation to the understanding of false belief and the appearance-reality distinction
Gopnik, Alison and Astington, Janet W · 1988
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Two contrasts: folk craft versus folk science, and belief versus opinion
Dennett, Daniel C · 1991
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Why the child’s theory of mind really is a theory
Gopnik, Alison and Wellman, Henry M · 1992
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The child’s theory of mind
Wellman, Henry M · 1992
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Improving generalization for temporal difference learning: The successor representation
Dayan, Peter · 1993
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Taking the intentional stance at 12 months of age
Gergely, György, Nádasdy, Zoltán, Csibra, Gergely, and Bíró, Szilvia · 1995
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Probable networks and plausible predictions—a review of practical bayesian methods for supervised neural networks
MacKay, David JC · 1995
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The neural representation of the social world
Churchland, Paul · 1996
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Simple principles of metalearning
Schmidhuber, Juergen, Zhao, Jieyu, and Wiering, MA · 1996
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Mirror neurons and the simulation theory of mind-reading
Gallese, Vittorio and Goldman, Alvin · 1998
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Reinforcement learning: An introduction , volume 1
Sutton, Richard S and Barto, Andrew G · 1998
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Learning to learn: Introduction and overview
Thrun, Sebastian and Pratt, Lorien · 1998
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Infants selectively encode the goal object of an actor’s reach
Woodward, Amanda L · 1998
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Infants’ ability to distinguish between purposeful and non-purposeful behaviors
Woodward, Amanda L · 1999
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Algorithms for inverse reinforcement learning
Ng, Andrew Y, Russell, Stuart J, et al · 2000
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Perceptual causality and animacy
Scholl, Brian J and Tremoulet, Patrice D · 2000
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Learning to learn using gradient descent
Hochreiter, Sepp, Younger, A Steven, and Conwell, Peter R · 2001
Cited alongside, same era.
A perspective view and survey of meta-learning
Vilalta, Ricardo and Drissi, Youssef · 2002
Cited alongside, same era.
Apprenticeship learning via inverse reinforcement learning
Abbeel, Pieter and Ng, Andrew Y · 2004
Cited alongside, same era.
A cognitive hierarchy model of games
Camerer, Colin F, Ho, Teck-Hua, and Chong, Juin-Kuan · 2004
Cited alongside, same era.
The neural basis of mentalizing
Frith, Chris D and Frith, Uta · 2006
Cited alongside, same era.
Five rules for the evolution of cooperation
Nowak, Martin A · 2006
Cited alongside, same era.
Infants track action goals within and across agents
Monte carlo planning method estimates planning horizons during interactive social exchange
Hula, Andreas, Montague, P Read, and Dayan, Peter · 2015
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Deep variational information bottleneck
Alemi, Alexander A, Fischer, Ian, Dillon, Joshua V, and Murphy, Kevin · 2016
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Psychological reasoning in infancy
Baillargeon, Renée, Scott, Rose M, and Bian, Lin · 2016
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Learning the preferences of ignorant, inconsistent agents
Evans, Owain, Stuhlmüller, Andreas, and Goodman, Noah D · 2016
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Cooperative inverse reinforcement learning
Hadfield-Menell, Dylan, Russell, Stuart J, Abbeel, Pieter, and Dragan, Anca · 2016
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Generative adversarial imitation learning
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Buresh, Jennifer Sootsman and Woodward, Amanda L · 2007
Cited alongside, same era.
Social cognition by food-caching corvids. the western scrub-jay as a natural psychologist
Clayton, Nicola S, Dally, Joanna M, and Emery, Nathan J · 2007
Cited alongside, same era.
Bayesian inverse reinforcement learning
Ramachandran, Deepak and Amir, Eyal · 2007
Cited alongside, same era.
Action anticipation through attribution of false belief by 2-year-olds
Southgate, Victoria, Senju, Atsushi, and Csibra, Gergely · 2007
Cited alongside, same era.
Does the chimpanzee have a theory of mind? 30 years later
Call, Josep and Tomasello, Michael · 2008
Cited alongside, same era.
Game theory of mind
Yoshida, Wako, Dolan, Ray J, and Friston, Karl J · 2008
Cited alongside, same era.
Ho, Jonathan and Ermon, Stefano · 2016
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The naïve utility calculus: computational principles underlying commonsense psychology
Jara-Ettinger, Julian, Gweon, Hyowon, Schulz, Laura E, and Tenenbaum, Joshua B · 2016
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Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction
Kleiman-Weiner, Max, Ho, Mark K, Austerweil, Joseph L, Littman, Michael L, and Tenenbaum, Joshua B · 2016
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Great apes anticipate that other individuals will act according to false beliefs
Krupenye, Christopher, Kano, Fumihiro, Hirata, Satoshi, Call, Josep, and Tomasello, Michael · 2016
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Modeling human understanding of complex intentional action with a bayesian nonparametric subgoal model
Nakahashi, Ryo, Baker, Chris L., and Tenenbaum, Joshua B · 2016
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A concise introduction to decentralized POMDPs
Oliehoek, Frans A and Amato, Christopher · 2016
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Autonomous agents modelling other agents: A comprehensive survey and open problems
Albrecht, Stefano V and Stone, Peter · 2017
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Rational quantitative attribution of beliefs, desires and percepts in human mentalizing
Baker, Chris L, Jara-Ettinger, Julian, Saxe, Rebecca, and Tenenbaum, Joshua B · 2017
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Making friends on the fly: Cooperating with new teammates
Barrett, Samuel, Rosenfeld, Avi, Kraus, Sarit, and Stone, Peter · 2017
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Botvinick, M., Barrett, D. G. T., Battaglia, P., de Freitas, N., Kumaran, D., Leibo, J. Z, Lillicrap, T., Modayil, J., Mohamed, S., Rabinowitz, N. C., Rezende, D. J., Santoro, A., Schaul, T., Summerfield, C., Wayne, G., Weber, T., Wierstra, D., Legg, S., and Hassabis, D · 2017
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Duan, Yan, Andrychowicz, Marcin, Stadie, Bradly, Ho, Jonathan, Schneider, Jonas, Sutskever, Ilya, Abbeel, Pieter, and Zaremba, Wojciech · 2017
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Finn, Chelsea and Levine, Sergey · 2017
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Pragmatic-pedagogic value alignment
Fisac, Jaime F, Gates, Monica A, Hamrick, Jessica B, Liu, Chang, Hadfield-Menell, Dylan, Palaniappan, Malayandi, Malik, Dhruv, Sastry, S Shankar, Griffiths, Thomas L, and Dragan, Anca D · 2017
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Reinforcement learning with unsupervised auxiliary tasks
Jaderberg, Max, Mnih, Volodymyr, Czarnecki, Wojciech Marian, Schaul, Tom, Leibo, Joel Z, Silver, David, and Kavukcuoglu, Koray · 2017
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Building machines that learn and think like people
Lake, Brenden M, Ullman, Tomer D, Tenenbaum, Joshua B, and Gershman, Samuel J · 2017
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A unified game-theoretic approach to multiagent reinforcement learning
Lanctot, Marc, Zambaldi, Vinicius, Gruslys, Audrunas, Lazaridou, Angeliki, Perolat, Julien, Silver, David, Graepel, Thore, et al · 2017
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Ten-month-old infants infer the value of goals from the costs of actions
Liu, Shari, Ullman, Tomer D, Tenenbaum, Joshua B, and Spelke, Elizabeth S · 2017
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Milli, Smitha, Hadfield-Menell, Dylan, Dragan, Anca, and Russell, Stuart · 2017
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Robust imitation of diverse behaviors
Wang, Ziyu, Merel, Josh S, Reed, Scott E, de Freitas, Nando, Wayne, Gregory, and Heess, Nicolas · 2017
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