An Overview of Recent Solutions to and Lower Bounds for the Firing Synchronization Problem
Thiago Correa, Breno Gustavo, Lucas Lemos, Amber Settle

TL;DR
This paper reviews recent solutions and lower bounds for the one-dimensional firing synchronization problem in cellular automata, emphasizing minimal-time and minimal-state solutions, and highlights open challenges in the field.
Contribution
It provides a comprehensive summary of recent advances in solutions to the firing synchronization problem, especially post-1998, and identifies open problems in minimal-state solutions.
Findings
Summarizes recent solutions to the firing synchronization problem.
Highlights open problems in minimal-state solutions.
Focuses on one-dimensional arrays with a single initiator.
Abstract
Complex systems in a wide variety of areas such as biological modeling, image processing, and language recognition can be modeled using networks of very simple machines called finite automata. Connecting subsystems modeled using finite automata into a network allows for more computational power. One such network, called a cellular automaton, consists of an n-dimensional array for n > 1 with a single finite automaton located at each point of the array. One of the oldest problems associated with cellular automata is the firing synchronization problem, originally proposed by John Myhill in 1957. As with any long-standing problem, there are a large number of solutions to the firing synchronization problem. Our goal, and the contribution of this work, is to summarize recent solutions to the problem. We focus primarily on solutions to the original problem, that is, the problem where the…
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Taxonomy
TopicsCellular Automata and Applications · DNA and Biological Computing · Modular Robots and Swarm Intelligence
