Abstract
As people engage in increasingly complex conversations with computers, the need for generality and flexibility in spoken dialogue systems becomes more apparent. This paper describes how three different spoken dialogue systems for the same task reason with knowledge and certainty as they seek to understand what people want. It advocates systems that exploit partial understanding, that consider credibility, and that are aware both of what they know and of their certainty that it matches the user’s intent.
