Article ID Journal Published Year Pages File Type
6874654 Journal of Computer and System Sciences 2018 15 Pages PDF
Abstract
In the framework of distributed network computing, it is known that not all Turing-decidable predicates on labeled networks can be decided locally whenever the computing entities are Turing machines (TM). This holds even if nodes are running non-deterministic Turing machines (NTM). In contrast, we show that every Turing-decidable predicate on labeled networks can be decided locally if nodes are running alternating Turing machines (ATM). More specifically, we show that, for every such predicate, there is a local algorithm for ATMs, with at most two alternations, that decides whether the actual labeled network satisfies that predicate. To this aim, we define a hierarchy of classes of decision tasks, where the lowest level contains tasks solvable with TMs, the first level those solvable with NTMs, and the level k>1 contains those tasks solvable with ATMs with k−1 alternations. We characterize the entire hierarchy, and show that it collapses in the second level.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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