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Autonomous discovery and direct instruction are two distinct sources of learning in children but education sciences demonstrate that mixed approaches such as assisted discovery or guided play result in improved skill acquisition.
1909
Earlier work this paper cites.
1910
Earlier work this paper cites.
1910
Earlier work this paper cites.
E. L. Thorndike, Animal Intelligence . New York: MacMillan Company, 1911
1911
Earlier work this paper cites.
1912
Earlier work this paper cites.
A. M. Turing, “Computing machinery and intelligence,” Mind , vol. 59, no. 236, pp. 433–460, 1950
1950
Earlier work this paper cites.
N. Chomsky, Syntactic Structures . Mouton, 1957
1957
Earlier work this paper cites.
D. E. Berlyne, “Curiosity and exploration,” Science , vol. 153, no. 3731, pp. 25–33, 1966
1966
Earlier work this paper cites.
A. Sokolov, Inner Speech and Thought . New York: Plenum Press, 1972
1972
Earlier work this paper cites.
J. S. Bruner, “Organization of early skilled action,” Child development , pp. 1–11, 1973
1973
Earlier work this paper cites.
H. P. Grice, “Logic and conversation,” in Syntax and Semantics: Vol. 3: Speech Acts , P. Cole and J. L. Morgan, Eds. New York: Academic Press, 1975, pp. 41–58
1975
Earlier work this paper cites.
D. Wood, J. S. Bruner, and G. Ross, “The role of tutoring in problem solving,” Journal of child psychology and psychiatry , vol. 17, no. 2, pp. 89–100, 1976
1976
Earlier work this paper cites.
J. Piaget, The development of thought: Equilibration of cognitive structures. Viking, 1977, (Trans A. Rosin)
1977
Earlier work this paper cites.
A. Bandura and D. C. McClelland, Social learning theory . Englewood cliffs Prentice Hall, 1977, vol. 1
1977
Earlier work this paper cites.
L. S. Vygotsky, “Tool and Symbol in Child Development,” in Mind in Society . Harvard University Press, 1978, ch. Tool and Symbol in Child Development, pp. 19–30
1978
Earlier work this paper cites.
J. W. Varni, O. I. Lovaas, R. L. Koegel, and N. L. Everett, “An analysis of observational learning in autistic and normal children,” Journal of Abnormal Child Psychology , vol. 7, no. 1, pp. 31–43, 1979
1979
Earlier work this paper cites.
T. M. Field, R. Woodson, D. Cohen, R. Greenberg, R. Garcia, and K. Collins, “Discrimination and imitation of facial expressions by term and preterm neonates,” Infant Behavior and Development , vol. 6, no. 4, pp. 485–489, 1983
1983
Earlier work this paper cites.
A. N. Meltzoff and M. K. Moore, “Newborn infants imitate adult facial gestures,” Child development , pp. 702–709, 1983
1983
Earlier work this paper cites.
L. R. Gleitman, E. L. Newport, and H. Gleitman, “The current status of the motherese hypothesis,” Journal of child language , vol. 11, no. 1, pp. 43–79, 1984
1984
Earlier work this paper cites.
A. N. Meltzoff, “Infant imitation after a 1-week delay: long-term memory for novel acts and multiple stimuli.” Developmental psychology , vol. 24, no. 4, p. 470, 1988
1988
Earlier work this paper cites.
J. S. Bruner, Acts of meaning . Harvard University Press, 1990, vol. 3
1990
Earlier work this paper cites.
S. Harnad, “The symbol grounding problem,” Physica D , vol. 42, pp. 335–346, 1990
1990
Earlier work this paper cites.
J. Bruner, “The narrative construction of reality,” Critical inquiry , vol. 18, no. 1, pp. 1–21, 1991
1991
Earlier work this paper cites.
B. Rosenshine, C. Meister et al. , “The use of scaffolds for teaching higher-level cognitive strategies,” Educational leadership , vol. 49, no. 7, pp. 26–33, 1992
1992
Earlier work this paper cites.
M. H. Bornstein, C. S. Tamis-LeMonda, J. Tal, P. Ludemann, S. Toda, C. W. Rahn, M.-G. Pêcheux, H. Azuma, and D. Vardi, “Maternal responsiveness to infants in three societies: The United States, France, and Japan,” Child development , vol. 63, no. 4, pp. 808–821, 1992
1992
Earlier work this paper cites.
M. Tomasello and R. Olguin, “Twenty-Three-Month-Old Children Have a Grammatical Category of Noun,” Cognitive development , vol. 8, no. 4, pp. 451–464, 1993, publisher: Elsevier
1993
Earlier work this paper cites.
L. E. Berk, “Why Children Talk to Themselves,” Scientific American , vol. 271, no. 5, pp. 78–83, 1994, publisher: JSTOR
1994
Earlier work this paper cites.
J. A. Winn, “Promises and challenges of scaffolded instruction,” Learning Disability Quarterly , vol. 17, no. 1, pp. 89–104, 1994
1994
Earlier work this paper cites.
K. Dautenhahn, “Getting to know each other—artificial social intelligence for autonomous robots,” Robotics and autonomous systems , vol. 16, no. 2-4, pp. 333–356, 1995
1995
Earlier work this paper cites.
E. Thelen and L. B. Smith, A dynamic systems approach to the development of cognition and action . MIT press, 1996
1996
Earlier work this paper cites.
B. K. Benson, “Scaffolding,” English Journal , vol. 86, no. 7, p. 126, 1997
1997
Earlier work this paper cites.
W. Schultz, P. Dayan, and P. R. Montague, “A neural substrate of prediction and reward,” Science , vol. 275, no. 5306, pp. 1593–1599, 1997
1997
Earlier work this paper cites.
R. Caruana, “Multitask learning,” Machine Learning , vol. 28, no. 1, pp. 41–75, 1997
1997
Earlier work this paper cites.
P. E. Doolittle, “Vygotsky’s zone of proximal development as a theoretical foundation for cooperative learning.” Journal on Excellence in College Teaching , vol. 8, no. 1, pp. 83–103, 1997
1997
Earlier work this paper cites.
R. S. Sutton et al. , Introduction to reinforcement learning . MIT Press, 1998
1998
Earlier work this paper cites.
M. Tomasello, “Emulation learning and cultural learning,” Behavioral and Brain Sciences , vol. 21, no. 5, pp. 703–704, 1998
1998
Earlier work this paper cites.
R. S. Siegler, Emerging minds: The process of change in children’s thinking . Oxford University Press, 1998
1998
Earlier work this paper cites.
A. Gopnik, A. N. Meltzoff, and P. K. Kuhl, The scientist in the crib: Minds, brains, and how children learn. William Morrow & Co, 1999
1999
Earlier work this paper cites.
A. N. Meltzoff, “Born to learn: What infants learn from watching us,” The role of early experience in infant development , pp. 1–10, 1999
1999
Earlier work this paper cites.
M. Tomasello, “The Item-Based Nature of Children’s Early Syntactic Development,” Trends in cognitive sciences , vol. 4, no. 4, pp. 156–163, 2000, publisher: Elsevier
2000
Earlier work this paper cites.
J. Zlatev, “The epigenesis of meaning in human beings, and possibly in robots,” Minds and Machines , vol. 11, no. 2, pp. 155–195, 2001
2001
Earlier work this paper cites.
J. Weng, J. McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, and E. Thelen, “Autonomous mental development by robots and animals,” Science , vol. 291, no. 5504, pp. 599–600, 2001
2001
Earlier work this paper cites.
T. Farroni, G. Csibra, F. Simion, and M. H. Johnson, “Eye contact detection in humans from birth,” Proceedings of the National Academy of Sciences , vol. 99, no. 14, pp. 9602–9605, 2002
2002
Earlier work this paper cites.
C. L. Nehaniv and K. Dautenhahn, “The correspondence problem,” Imitation in animals and artifacts , vol. 41, 2002
2002
Earlier work this paper cites.
J. Lindblom and T. Ziemke, “Social situatedness of natural and artificial intelligence: Vygotsky and beyond,” Adaptive Behavior , vol. 11, no. 2, pp. 79–96, 2003
2003
Earlier work this paper cites.
M. Lungarella, G. Metta, R. Pfeifer, and G. Sandini, “Developmental robotics: a survey,” Connection Science , vol. 15, no. 4, pp. 151–190, 2003
2003
Cited alongside, same era.
A. E. Goldberg, “Constructions: A New Theoretical Approach to Language,” Trends in cognitive sciences , vol. 7, no. 5, pp. 219–224, 2003, publisher: Elsevier
2003
Cited alongside, same era.
H. Yoshida and L. B. Smith, “Sound Symbolism and Early Word Learning in Two Languages,” in Proceedings of the Annual Meeting of the Cognitive Science Society , vol. 25, 2003, pp. 1287 – 1292
2003
Cited alongside, same era.
M. H. Goldstein, A. P. King, and M. J. West, “Social interaction shapes babbling: Testing parallels between birdsong and speech,” Proceedings of the National Academy of Sciences , vol. 100, no. 13, pp. 8030–8035, 2003
2003
Cited alongside, same era.
C. Lichtenthäler and A. Kirsch, “Legibility of robot behavior: A literature review,” https://hal.archives-ouvertes.fr/hal-01306977 , 2016
2016
Later among the works it cites.
2017
Later among the works it cites.
B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman, “Building machines that learn and think like people,” Behavioral and brain sciences , vol. 40, 2017
2017
Later among the works it cites.
D. Gentner and C. Hoyos, “Analogy and Abstraction,” Topics in Cognitive Science , vol. 9, no. 3, pp. 672–693, Jul. 2017
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2004
Cited alongside, same era.
P. Abbeel and A. Y. Ng, “Apprenticeship learning via inverse reinforcement learning,” in Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004 , ser. ACM International Conference Proceeding Series, C. E. Brodley, Ed., vol. 69. ACM, 2004
2004
Cited alongside, same era.
P. K. Kuhl, “Early language acquisition: cracking the speech code,” Nature reviews neuroscience , vol. 5, no. 11, pp. 831–843, 2004
2004
Cited alongside, same era.
L. Smith and M. Gasser, “The development of embodied cognition: Six lessons from babies,” Artificial life , vol. 11, no. 1-2, pp. 13–29, 2005
2005
Cited alongside, same era.
2005
Cited alongside, same era.
N. D. Daw and K. Doya, “The computational neurobiology of learning and reward,” Current opinion in neurobiology , vol. 16, no. 2, pp. 199–204, 2006
2006
Cited alongside, same era.
2006
Cited alongside, same era.
Y. Nagai and K. J. Rohlfing, “Can motionese tell infants and robots” what to imitate”,” in Proceedings of the 4th International Symposium on Imitation in Animals and Artifacts . Citeseer, 2007, pp. 299–306
2007
Cited alongside, same era.
P. F. Christiano, J. Leike, T. B. Brown, M. Martic, S. Legg, and D. Amodei, “Deep reinforcement learning from human preferences,” in Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA , I. Guyon, U. von Luxburg, S. Bengio, H. M. Wallach, R. Fergus, S. V. N. Vishwanathan, and R. Garnett, Eds., 2017, pp. 4299–4307
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
M. K. Ho, J. MacGlashan, M. L. Littman, and F. Cushman, “Social is special: A normative framework for teaching with and learning from evaluative feedback,” Cognition , vol. 167, pp. 91–106, 2017
2017
Later among the works it cites.
M. Andrychowicz, D. Crow, A. Ray, J. Schneider, R. Fong, P. Welinder, B. McGrew, J. Tobin, P. Abbeel, and W. Zaremba, “Hindsight experience replay,” in Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA , I. Guyon, U. von Luxburg, S. Bengio, H. M. Wallach, R. Fergus, S. V. N. Vishwanathan, and R. Garnett, Eds., 2017, pp. 5048–5058
2017
Later among the works it cites.
Y. Yu, P. Shafto, E. Bonawitz, S. C.-H. Yang, R. M. Golinkoff, K. H. Corriveau, K. Hirsh-Pasek, and F. Xu, “The theoretical and methodological opportunities afforded by guided play with young children,” Frontiers in psychology , vol. 9, p. 1152, 2018
2018
Later among the works it cites.
T. Hoffmann, “Creativity and Construction Grammar: Cognitive and Psychological Issues,” Zeitschrift für Anglistik und Amerikanistik , vol. 66, no. 3, pp. 259–276, 2018
2018
Later among the works it cites.
C. Finn, “Learning to learn with gradients,” Ph.D. dissertation, UC Berkeley, 2018
2018
Later among the works it cites.
S. Doncieux, D. Filliat, N. Díaz-Rodríguez, T. Hospedales, R. Duro, A. Coninx, D. M. Roijers, B. Girard, N. Perrin, and O. Sigaud, “Open-ended learning: a conceptual framework based on representational redescription,” Frontiers in Robotics and AI , vol. 12, 2018
2018
Later among the works it cites.
T. Hester, M. Vecerík, O. Pietquin, M. Lanctot, T. Schaul, B. Piot, D. Horgan, J. Quan, A. Sendonaris, I. Osband, G. Dulac-Arnold, J. P. Agapiou, J. Z. Leibo, and A. Gruslys, “Deep q-learning from demonstrations,” in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 , S. A. McIlraith and K. Q. Weinberger, Eds. AAAI Press, 2018, pp. 3223–3230
2018
Later among the works it cites.
F. Torabi, G. Warnell, and P. Stone, “Behavioral cloning from observation,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden , J. Lang, Ed. ijcai.org, 2018, pp. 4950–4957
2018
Later among the works it cites.
C. Florensa, D. Held, X. Geng, and P. Abbeel, “Automatic goal generation for reinforcement learning agents,” in Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018 , ser. Proceedings of Machine Learning Research, J. G. Dy and A. Krause, Eds., vol. 80. PMLR, 2018, pp. 1514–1523
2018
Later among the works it cites.
A. Vyshedskiy, “Language evolution to revolution: the leap from rich-vocabulary non-recursive communication system to recursive language 70,000 years ago was associated with acquisition of a novel component of imagination, called prefrontal synthesis, enabled by a mutation that slowed down the prefrontal cortex maturation simultaneously in two or more children–the romulus and remus hypothesis,” Research Ideas and Outcomes , vol. 5, p. e38546, 2019
2019
Later among the works it cites.
J. Jara-Ettinger, “Theory of mind as inverse reinforcement learning,” Current Opinion in Behavioral Sciences , vol. 29, pp. 105–110, 2019
2019
Later among the works it cites.
M. Botvinick, S. Ritter, J. X. Wang, Z. Kurth-Nelson, C. Blundell, and D. Hassabis, “Reinforcement learning, fast and slow,” Trends in cognitive sciences , vol. 23, no. 5, pp. 408–422, 2019
2019
Later among the works it cites.
R. Gruber, M. Schiestl, M. Boeckle, A. Frohnwieser, R. Miller, R. D. Gray, N. S. Clayton, and A. H. Taylor, “New caledonian crows use mental representations to solve metatool problems,” Current Biology , vol. 29, no. 4, pp. 686–692, 2019
2019
Later among the works it cites.
B. J. and M. Chetouani, “Towards transparent robot learning through tdrl-based emotional expressions,” IEEE Transactions on Affective Computing , pp. 1–1, 2019
2019
Later among the works it cites.
P. Fournier, C. Colas, M. Chetouani, and O. Sigaud, “Clic: Curriculum learning and imitation for object control in non-rewarding environments,” IEEE Transactions on Cognitive and Developmental Systems , 2019
2019
Later among the works it cites.
C. Colas, P.-Y. Oudeyer, O. Sigaud, P. Fournier, and M. Chetouani, “CURIOUS: Intrinsically motivated multi-task, multi-goal reinforcement learning,” in International Conference on Machine Learning (ICML) , 2019, pp. 1331–1340
2019
Later among the works it cites.
J. Luketina, N. Nardelli, G. Farquhar, J. N. Foerster, J. Andreas, E. Grefenstette, S. Whiteson, and T. Rocktäschel, “A survey of reinforcement learning informed by natural language,” in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 , S. Kraus, Ed. ijcai.org, 2019, pp. 6309–6317
2019
Later among the works it cites.
2019
Later among the works it cites.
J. Lin, Z. Ma, R. Gomez, K. Nakamura, B. He, and G. Li, “A review on interactive reinforcement learning from human social feedback,” IEEE Access , vol. 8, pp. 120 757–120 765, 2020
2020
Later among the works it cites.
C. Colas, T. Karch, N. Lair, J. Dussoux, C. Moulin-Frier, P. F. Dominey, and P. Oudeyer, “Language as a cognitive tool to imagine goals in curiosity driven exploration,” in Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, and H. Lin, Eds., 2020
2020
Later among the works it cites.
J. Chu and L. E. Schulz, “Play, curiosity, and cognition,” Annual Review of Developmental Psychology , vol. 2, pp. 317–343, 2020
2020
Later among the works it cites.
R. Portelas, C. Colas, L. Weng, K. Hofmann, and P. Oudeyer, “Automatic curriculum learning for deep RL: A short survey,” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 , C. Bessiere, Ed. ijcai.org, 2020, pp. 4819–4825
2020
Later among the works it cites.
M. Etcheverry, C. Moulin-Frier, and P. Oudeyer, “Hierarchically organized latent modules for exploratory search in morphogenetic systems,” in Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, and H. Lin, Eds., 2020
2020
Later among the works it cites.
S. Reddy, A. D. Dragan, S. Levine, S. Legg, and J. Leike, “Learning human objectives by evaluating hypothetical behavior,” in Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event , ser. Proceedings of Machine Learning Research, vol. 119. PMLR, 2020, pp. 8020–8029
2020
Later among the works it cites.
H. J. Jeon, S. Milli, and A. D. Dragan, “Reward-rational (implicit) choice: A unifying formalism for reward learning,” in Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, and H. Lin, Eds., 2020
2020
Later among the works it cites.
D. Nguyen, S. Venkatesh, P. Nguyen, and T. Tran, “Theory of mind with guilt aversion facilitates cooperative reinforcement learning,” in Asian Conference on Machine Learning . PMLR, 2020, pp. 33–48
2020
Later among the works it cites.
V. Pong, M. Dalal, S. Lin, A. Nair, S. Bahl, and S. Levine, “Skew-fit: State-covering self-supervised reinforcement learning,” in Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event , ser. Proceedings of Machine Learning Research, vol. 119. PMLR, 2020, pp. 7783–7792
2020
Later among the works it cites.
L. Floridi and M. Chiriatti, “Gpt-3: Its nature, scope, limits, and consequences,” Minds and Machines , vol. 30, no. 4, pp. 681–694, 2020
2020
Later among the works it cites.
H. Gweon, “Inferential social learning: Cognitive foundations of human social learning and teaching,” Trends in Cognitive Sciences , vol. 25, no. 10, pp. 896–910, 2021
2021
Closest in time.
A. Akakzia, C. Colas, P. Oudeyer, M. Chetouani, and O. Sigaud, “Grounding language to autonomously-acquired skills via goal generation,” in 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021 . OpenReview.net, 2021. [Online]. Available: https://openreview.net/forum?id=chPj_I5KMHG
2021
Closest in time.
N. Vélez and H. Gweon, “Learning from other minds: An optimistic critique of reinforcement learning models of social learning,” Current Opinion in Behavioral Sciences , vol. 38, pp. 110–115, 2021
2021
Closest in time.
S. Wallkotter, S. Tulli, G. Castellano, A. Paiva, and M. Chetouani, “Explainable agents through social cues: A review,” 2021
2021
Closest in time.
2021
Closest in time.
K. Nguyen, D. Misra, R. E. Schapire, M. Dudík, and P. Shafto, “Interactive learning from activity description,” in Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event , ser. Proceedings of Machine Learning Research, M. Meila and T. Zhang, Eds., vol. 139. PMLR, 2021, pp. 8096–8108. [Online]. Available: http://proceedings.mlr.press/v139/nguyen21e.html
2021
Closest in time.
2021
Closest in time.
2021
Closest in time.
M. Eppe, C. Gumbsch, M. Kerzel, P. D. Nguyen, M. V. Butz, and S. Wermter, “Intelligent problem-solving as integrated hierarchical reinforcement learning,” Nature Machine Intelligence , pp. 1–10, 2022
2022
Closest in time.