Graph-Controlled Insertion-Deletion Systems
Rudolf Freund, Marian Kogler, Yurii Rogozhin, Sergey Verlan

TL;DR
This paper explores graph-controlled insertion and deletion systems, demonstrating that their computational power significantly increases with a control graph of four nodes, even with rules involving at most two symbols.
Contribution
It introduces a novel framework combining graph control with insertion-deletion systems, establishing conditions for computational completeness with minimal rule size and control graph complexity.
Findings
Computational completeness achieved with at most two-symbol rules.
Control graph with four nodes suffices for full computational power.
Graph control enhances the capabilities of insertion-deletion systems.
Abstract
In this article, we consider the operations of insertion and deletion working in a graph-controlled manner. We show that like in the case of context-free productions, the computational power is strictly increased when using a control graph: computational completeness can be obtained by systems with insertion or deletion rules involving at most two symbols in a contextual or in a context-free manner and with the control graph having only four nodes.
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.
Taxonomy
TopicsDNA and Biological Computing · Advanced biosensing and bioanalysis techniques · Modular Robots and Swarm Intelligence
