Reference code: | PT/FB/BL-2018-360.02 |
Location: | BF-GMS
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Title:
| Humans learning a complex task are picky and sticky
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Publication year: | 2022
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URL:
| https://2022.ccneuro.org/view_paper.php?PaperNum=1277
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Abstract/Results: | ABSTRACT:
While neural networks approach human levels of perfor- mance in many complex tasks, they require much more training than humans. This may be because only humans can infer and apply generalizable principles from prior ex- perience (Lake, Ullman, Tenenbaum, & Gershman, 2017). However, the statistics that underlie the human learning process are poorly understood and hard to investigate in the large state spaces found in most complex tasks (van Opheusden & Ma, 2019). We thus designed a cog- nitive task whose potential solutions are few enough for subjects to densely sample policy space, but complex enough to compel intelligent search. We launched the game as a smartphone-based app (hexxed.io) to collect data from 10k human participants. We find that unlike re- inforcement learning agents (Deep-Q Networks ; DQNs), humans (1) search a highly restricted subset of the pol- icy space; (2) attempt even poor solutions many times before discarding them; (3) arrive at the optimal policy suddenly and unpredictably with a “leap of insight”. Our data suggest a “top-down” learning process by which hu- mans propose explanatory solutions which they replace only upon collecting sufficient evidence to the contrary, in contrast to the “bottom-up” learning of DQNs that as- sociates states with rewarding actions
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Accessibility: | Document exists in file
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Language:
| eng
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Author:
| Quendera, T.
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Secondary author(s):
| Deng, D., Hamidi, M., Bergomi, M., Mainen, Z. F., Agarwal, G.
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Document type:
| Conference paper
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Number of reproductions:
| 1
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Reference:
| Quendera, T., Deng, D., Hamidi, M., Bergomi, M., Mainen, Z. F., & Agarwal, G. (2022). Humans learning a complex task are picky and sticky. 2022 Conference on Cognitive Computational Neuroscience. https://doi.org/10.32470/CCN.2022.1277-0
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Indexed document: | No
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Keywords: | Problem solving / Search / Intelligence / Skill learning / Decision making / Epiphany
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Humans learning a complex task are picky and sticky |