Using Diverse Cognitive Mechanisms for Action Modeling

Predicting the results of one’s own actions is a powerful cognitive capability that can aid in determining which action to take in a given situation. In this paper, we describe a taskindependent framework based on the Soar cognitive architecture in which rules, episodic memory, semantic memory, mental imagery, and task decomposition are available for predicting an action’s consequences. We include results from two domains and make predictions for human behavior based on these results.