An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract)

Active logic is a time-situated reasoner that can track the history of inferences, detect contradictions, and make parallel inferences in time. In this paper, we explore behavior an active-logic based agent on different sets action selection axioms for time-constrained target search task. We compare performance baseline set does not avoid redundant actions with five other axiom repeated but vary their knowledge content. The results these experiments show importance balancing boldness caution search.