Probabilistic modeling of intelligent robotic systems

A probabilistic approach is followed for the modeling of intelligent robotic systems composed of three interactive levels of organization, coordination, and execution of tasks. Probability and entropy functions are used as analytic measures to interpret mathematically the system functions. The modeling constraint obeys the mathematically proven principle of increasing precision with decreasing intelligence. This probabilistic approach has been tested by simulation in connection with overcoming emergency situations in a pressurized water reactor nuclear power plant.>