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Meta-Learned Models of Cognition. (arXiv:2304.06729v1 [cs.AI])
cs.LG updates on arXiv.org arxiv.org
Meta-learning is a framework for learning learning algorithms through
repeated interactions with an environment as opposed to designing them by hand.
In recent years, this framework has established itself as a promising tool for
building models of human cognition. Yet, a coherent research program around
meta-learned models of cognition is still missing. The purpose of this article
is to synthesize previous work in this field and establish such a research
program. We rely on three key pillars to accomplish this …
algorithms article arxiv bayes building cognition construct environment framework human interactions meta meta-learning research through tool work