Stochastic self-monitoring of autonomous systems

A probabilistic method is presented for high level task planning of autonom ous, mobile systems under partial observability of states and partial knowl edge of transition laws. Partial state observability is addressed by direct ed Markov fields which support the detection of relationships between pairs of observed variables in competition to other such pairs.