Modeling of expectations and surprise in ACT-R

Abstract

Expectations are essential to model well-learned-tasks in human-machine interaction. Our aim is to implement expectations and surprise in the cognitive architecture ACT- R. We present a reaction time experiment designed to inform the structure of expectations and discuss its implications for the modeling of expectations. We also discuss general constraints that limit possible models of expectations and surprise in ACT-R and present future modeling and experimental ideas.


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