A Method for Temporal Probabilistic Reasoning

Temporal reasoning in complex environments often involves the interpretation of evidence under uncertainty. We have been studying the application of probabilistic reasoning techniques to the problem of temporal-data interpretation. In this report, we discuss techniques for inferring the probability of current hypothesis given temporal evidence. After reviewing the background of the problem, we present our problem-solving approach and discuss a prototype implementation.