The Generic Degree of Autonomy
Shiva Shankar, Paula Rocha

TL;DR
This paper introduces a method to compute the degree of autonomy for generic autonomous systems, showing that generic controllers maximize this autonomy, which indicates their maximal efficiency.
Contribution
It provides a novel calculation method for the degree of autonomy in n-D systems and demonstrates that generic controllers are maximally efficient in enhancing autonomy.
Findings
Calculates the degree of autonomy for generic n-D systems.
Shows that generic controllers maximize the system’s degree of autonomy.
Establishes the maximal efficiency of generic controllers in autonomous systems.
Abstract
This paper calculates the degree of autonomy of a generic autonomous n-D system given by the kernel of a partial difference operator. The calculation implies that attaching a generic controller to a non-autonomous system, results in a controlled system whose degree of autonomy is the maximum possible. Thus a generic controller is maximally efficient with respect to the criterion of maximising degree of autonomy. The term generic here refers to an open (dense) subset of the set of all n-D systems with the Zariski topology.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
