Proceedings of the Workshop on Models of Complex Human Learning Held in Ithaca, New York on June 27-28, 1989.

摘要

Historically, much Artificial Intelligence (AI) research has been motivated by a desire to better understand human cognition. The Workshop on Models of Complex Human Learning is the first AI learning workshop to focus exclusively on learning research that gives attention to human data and has implications for understanding human cognition. Of particular interest at this workshop is learning research that models complex problem-solving tasks at the symbol level, such as acquisition of high-level programming skills, acquisition of problem-solving expertise, and learning via analogical reasoning between different problem domains. Keywords: Cognitively oriented machine learning; Learning testbeds; Human data; Abstracts. (kr)