Policy-based self-configuration of autonomous systems information inputs

In this paper the idea of Policy-based Input Selector, which is a framework of a highly flexible modular software interface was presented. The Policy-based Input Selector allows run-time context-sensitive and self-acting reconfiguration of information inputs in cognitive systems. The proposed solution has great application capability in autonomous and intelligent systems with multiple data inputs, such as - inter alia - vision, Laser Range Finders (LRF) or audio. Potential implementation of policies enables efficient context switching of information input and this was in detail presented and explained in this work.