9 Apr
2024
9 Apr
'24
noon
Dear All,
The CEU Department of Cognitive Science and the Center for Cognitive Computation (CCC)
invites you to the following talk.
*Please note that this is an online event only, next Tuesday, starting from 3 PM.*
Speaker: Yanli Zhou (New York University)
Title: Compositional Learning of Function Interactions in Humans and Machines
Abstract: Humans are efficient learners of functions - the ability to represent and
compose functions emerges early in development. Work in linguistics further suggests that
humans are capable of learning much more complex function interactions. Going back to
Kiparsky (1968), linguists have cataloged numerous linguistic phenomena covering four
logical patterns for ordering two interactive functions. “Feeding” in a context-free
grammar is when one function creates the context for another to operate, and
“counterfeeding” is the converse. “Bleeding” occurs when the operation of one function
removes the context for another, and “counterbleeding” is its converse. In this project,
our aim is to determine the extent to which humans and computational models can learn to
compose functions based on the system of interactions. We introduce a learning task that
adapts and extends the Piantadosi & Aslin (2016) design, evaluating participants on
zero-shot function compositions covering all four interaction types. Our findings indicate
that participants can correctly infer the underlying functions based on limited
input-output examples; they can also generalize to novel combinations of functions across
different conditions. Close examinations of participants’ response patterns reveal a
number of potential inductive biases. Furthermore, we demonstrate that a standard
sequence-to-sequence transformer model can be trained to complete the same task with high
levels of accuracy via meta-learning. Incorporating guidance from human data, our model
can learn to reproduce behavioral patterns that mirror the complete and complex way humans
perform function compositions.
Time: 3 PM, Tuesday, April 16, 2024
Zoom: Meeting ID: 983 6360
8209<https://ceu-edu.zoom.us/j/98363608209?pwd=THFGZEFLVmVqaGlaMjlWYkxsa0dSUT09>
Passcode: 951062
Please, be informed that video/photo recording might take place at the event and the
edited version of the video material might be published to communicate or promote CEU
PU's activities. Please, find our Privacy Notice
here<https://www.ceu.edu/privacy>cy>.
Best regards,
Ildikó Varga
Department Coordinator (Budapest)
Department of Cognitive Science
[cid:9cb0ecd0-e800-4392-a4d6-ba66545d05e7]
H-1051 Budapest
Nádor u. 15. FT room 404.
tel: +36-1 327-3000 2941
http://www.ceu.edu<http://www.ceu.edu/>
http://cognitivescience.ceu.edu<http://cognitivescience.ceu.edu/>
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