Coordinated intelligent control via epistemic utility theory

Abstract

The author presents a model of coordinated intelligent control based upon epistemic utility theory. This model provides each agent with an epistemic system, which accounts for its goals and values, its beliefs, its willingness to risk error, the existence of incomplete and contradictory evidence, and the possibility that currently held beliefs are untrue. The model is sufficiently broad to address real issues while providing sufficient detail and mathematical precision to be practically useful for the problems of estimation and control. The model is illustrated with a multi-agent robot simulation. >