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FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations ...
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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
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In: Elsevier (2021)
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The Child as Hacker
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In: PMC (2021)
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Abstract:
© 2020 The Authors The scope of human learning and development poses a radical challenge for cognitive science. We propose that developmental theories can address this challenge by adopting perspectives from computer science. Many of our best models treat learning as analogous to computer programming because symbolic programs provide the most compelling account of sophisticated mental representations. We specifically propose that children's learning is analogous to a particular style of programming called hacking, making code better along many dimensions through an open-ended set of goals and activities. By contrast to existing theories, which depend primarily on local search and simple metrics, this view highlights the many features of good mental representations and the multiple complementary processes children use to create them. ; NSF (Grants 1760874, 1122374, 1745302) ; Eunice Kennedy Shriver National Institute of Child Health & Human Development (Award 1R01HD085996) ; Office of Naval Research (Grant N00014-18-1-2847) ; Air Force Office of Scientific Research (Award FA9550-19-1-0269)
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URL: https://hdl.handle.net/1721.1/138335.2
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Plans or Outcomes: How Do We Attribute Intelligence to Others?
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In: PsyArXiv (2021)
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Intuitive Theories as Grammars for Causal Inference
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In: MIT web domain (2019)
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The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
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In: arXiv (2019)
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A critical period for second language acquisition: Evidence from 2/3 million English speakers
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In: PMC (2019)
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Word learning and the acquisition of syntactic--semantic overhypotheses ...
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A critical period for second language acquisition: Evidence from 2/3 million English speakers
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Surprise! Infants consider possible bases of generalization for a single input example
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In: PMC (2017)
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Learning Structured Preferences
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In: Other univ. web domain (2017)
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The causes and consequences explicit in verbs
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In: Hartshorne (2014)
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