An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract)
DOI:
https://doi.org/10.1609/aaai.v37i13.26974Keywords:
Artificial Intelligence, Active Logic, Reasoning, Time Situated Agent, Time-constrained Target SearchAbstract
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 the behavior of an active-logic based agent on different sets of action selection axioms for a time-constrained target search task. We compare the performance of a baseline set of axioms that does not avoid redundant actions with five other axiom sets that avoid repeated actions but vary in their knowledge content. The results of these experiments show the importance of balancing boldness and caution for target search.Downloads
Published
2023-09-06
How to Cite
Herron, A., & Josyula, D. P. (2023). An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16228-16229. https://doi.org/10.1609/aaai.v37i13.26974
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Section
AAAI Student Abstract and Poster Program