Information-theoretic modeling of intelligent robotic systems

Generalized N-dimensional information theory is utilized to describe quantitatively the flow of knowledge (information) within intelligent robotic systems modeled within the constraints imposed by the theory of intelligent controls. A generalized partition law of information rates is derived to describe analytically the laws of information which govern the performance of the three interactive levels of such systems as well as within each of the higher two levels, namely the organization and coordination levels. The law considers the possible trade-offs between the noise, the internal control procedures, the feedback mechanisms, possible coordination, and memory exchange procedures generated during the operation of intelligent robotics systems