Generating Candidate Busy Beaver Machines (Or How to Build the Zany Zoo)
James Harland

TL;DR
This paper presents a systematic method for generating and classifying Turing machines to advance the study of the busy beaver problem, providing detailed machine lists and a framework for future research.
Contribution
It introduces a formal strategy for generating Turing machine classes, compares machine variants, and provides an implementation with extensive machine data for the busy beaver problem.
Findings
Generated Turing machine classes with up to 5 states or symbols.
Formalized generation strategy reduces the search space.
Provided publicly available machine data and code.
Abstract
The busy beaver problem is a well-known example of a non-computable function. In order to determine a particular value of this function, it is necessary to generate and classify a large number of Turing machines. Previous work on this problem has described the processes used for the generation and classification of these machines, but unfortunately has generally not provided details of the machines considered. While there is no reason to doubt the veracity of the results known so far, it is difficult to accept such results as scientifically proven without being able to inspect the appropriate evidence. In addition, a list of machines and their classifications can be used for other results, such as variations on the busy beaver problem and related problems such as the placid platypus problem. In this paper we investigate how to generate classes of machines to be considered for the busy…
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Taxonomy
TopicsDiatoms and Algae Research
