Special Track on Uncertain Reasoning

Many problems in AI (in reasoning, planning, learning, perception and robotics) require the agent to operate with incomplete or uncertain information. e objective of this track is to present and discuss a broad and diverse range of current work on uncertain reasoning, including theoretical and applied research based on di erent paradigms. Begun in 1996, this track, (meeting for its 23rd year) is the oldest of the special tracks in FLAIRS conferences. Like its predecessors, this track seeks to bring together researchers working on broad issues related to reasoning under uncertainty.