Abductive Reasoning for Continual Dialogue Understanding
Proceedings of the 16th Student Session of the European Summer School for Logic, Language and Information (ESSLLI), 2011
In this paper I present a continual context-sensitive abductive framework for understanding situated spoken natural dialogue. The framework builds up and refines a set of partial defeasible explanations of the spoken input, trying to infer the speakerâs intention. These partial explanations are conditioned on the eventual verification of the knowledge gaps they contain. This verification is done by executing test actions, thereby going beyond the initial context. The approach is illustrated by an example set in the context of human-robot interaction.