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Generic algorithms for halting problem and optimal machines revisitedстатья
- Авторы: Bienvenu Laurent, Desfontaines Damien, Shen Alexander
- Журнал: Logical Methods in Computer Science
- Том: 12
- Номер: 2
- Год издания: 2016
- Издательство: Technischen Universitat Braunschweig
- Местоположение издательства: Germany
- DOI: 10.2168/LMCS-12(2:1)2016
- Аннотация: Проблема остановки неразрешима, но разрешима ли она на почти всех входаз. Эту задачу можно уточнять многими способами. The halting problem is undecidable --- but can it be solved for "most" inputs? This natural question was considered in a number of papers, in different settings. We revisit their results and show that most of them can be easily proven in a natural framework of optimal machines (considered in algorithmic information theory) using the notion of Kolmogorov complexity. We also consider some related questions about this framework and about asymptotic properties of the halting problem. In particular, we show that the fraction of terminating programs cannot have a limit, and all limit points are Martin-L\"of random reals. We then consider mass problems of finding an approximate solution of halting problem and probabilistic algorithms for them, proving both positive and negative results. We consider the fraction of terminating programs that require a long time for termination, and describe this fraction using the busy beaver function. We also consider approximate versions of separation problems, and revisit Schnorr's results about optimal numberings showing how they can be generalized.
- Добавил в систему: Верещагин Николай Константинович