Empirical explorations with the logic theory machine: a case study in heuristics
Computers & thought
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Novice LISP errors: undetected losses of information from working memory
Human-Computer Interaction
Towards Supporting Psychologically Plausible Variability in Agent-Based Human Modelling
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
EACE '05 Proceedings of the 2005 annual conference on European association of cognitive ergonomics
A preliminary model of participation for small groups
Computational & Mathematical Organization Theory
Synergy of performance-based model and cognitive trait model in DP-ITS
UM'05 Proceedings of the 10th international conference on User Modeling
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Over the decades, computational models of human cognition have advanced from programs that produce output similar to that of human problem solvers to systems that mimic both the products and processes of human performance. In this paper, we describe a model that achieves the next step in this progression: predicting individual participants' performance across multiple tasks after estimating a single individual difference parameter. We demonstrate this capability in the context of a model of working memory, where the individual difference parameter for each participant represents working memory capacity. Specifically, our model is able to make zero-parameter predictions of individual participants' performance on a second task after separately fitting performance on a preliminary task. We argue that this level of predictive ability offers an important test of the theory underlying our model.