Complex adaptive agents consistently achieve their goals by solving problems that seem to
require an understanding of causal information, information pertaining to the causal …

This is a commentary for a special issue on predictive processing and rational constructivist
models of development. Mainly I use the opportunity to ask a bunch of questions about what …

An increasingly prevalent approach to studying human cognition is to construe the mind as
optimally allocating limited cognitive resources among cognitive processes. Under this …

Human learning does not stop at solving a single problem. Instead, we seek new
challenges, define new goals, and come up with new ideas. What drives people to disrupt …

Research in lexical acquisition has frequently focused on children's ability to make rapid,
context-informed guesses about the meaning of newly encountered words, known as 'fast …

Investigating how people evaluate more or less complex causal theories has been a focal
point of research. However, previous studies have either focused on token-level causation …

We propose bootstrap learning as a computational account for why human learning is
modular and incremental, and identify key components of bootstrap learning that allow …

Human learning does not stop at solving a single problem. Instead, we seek new
challenges, define new goals, and come up with new ideas. Unlike the classic explore …