An autonomous and adaptive method and system for secure, policy-based control of remote and locally controlled computing devices. The invention uses a policy-based access control mechanism to achieve adaptive and dynamic behavior modification based on the context of the local operating environment of the computing device. The modification system assesses the desirability of actions or outcomes as determined by the policy rules and modifies them accordingly, thus altering the behavior of the computing device. The system can utilize a machine learning technique, pattern matching and heuristic evaluation. When applied to the control of robotic and autonomous devices, the system allows the robot to offload adjudication to a remote system and also facilitates cooperative behaviors between robots operating in dynamic environments.
Autonomous and adaptive methods and system for secure, policy-based control of remote and locally controlled computing devices