Deep learning bears promise for drug discovery, including advanced image analysis, prediction of molecular structure and function, and automated generation of innovative …
S Piantadosi - Lingbuzz Preprint, lingbuzz, 2023 - lingbuzz.net
The rise and success of large language models undermines virtually every strong claim for the innateness of language that has been proposed by generative linguistics. Modern …
Mental representations remain the central posits of psychology after many decades of scrutiny. However, there is no consensus about the representational format (s) of biological …
In this article, we integrate two constructionist approaches—the theory of constructed emotion and rational constructivism—to introduce several novel hypotheses for …
M Mitchell - Annals of the New York Academy of Sciences, 2021 - Wiley Online Library
Conceptual abstraction and analogy‐making are key abilities underlying humans' abilities to learn, reason, and robustly adapt their knowledge to new domains. Despite a long history of …
We propose that human social cognition is structured around a basic understanding of ourselves and others as intuitive utility maximizers: from a young age, humans implicitly …
INTRODUCTION Compositionality, generalization, and learning from a few examples are among the hallmarks of human intelligence. CAPTCHAs (Completely Automated Public …
BM Lake, GL Murphy - Psychological review, 2023 - psycnet.apa.org
Abstract Machines have achieved a broad and growing set of linguistic competencies, thanks to recent progress in Natural Language Processing (NLP). Psychologists have …
Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a transition model. Here, we propose a new hypothesis: that replay is able to implement a form …