This paper illustrates cognitive modeling constructs designed to make learning by instruction more robust, including (1) flexible grounding of language to execution, (2) inference of implicit instruction knowledge, and (3) interactive clarification of instructions during both learning and execution.

People can learn to perform new tasks very quickly by making use of lower‐level skills they have developed when learning previous tasks. Hoekstra, Martens, and Taatgen model this process, showing how a system trained on simple tasks (visual search and two working memory tasks) can then quickly learn to perform the attentional blink task, and it ends up making the same sorts of errors as people do.