Uncertainty in Artificial Intelligence 5 (Machine Intelligence and Pattern Recognition)

This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty.

A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternative formalisms (including possibilistic reasoning), Dempster-Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes, and new inference techniques for belief nets. New techniques are applied to important problems in medicine, vision, robotics, and natural language understanding.

A.M. Andrew
These ae clearly important publications in their highly topical field, with particular relevance to real-time interactive sytems and hence to robotics.
Robotica