Decider: Difference between revisions
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There are a wide variety of methods used to construct deciders. Some broad categories are: [[Accelerated Simulator]]s, [[Backward Reasoning]] and [[Closed Set]] methods. | There are a wide variety of methods used to construct deciders. Some broad categories are: [[Accelerated Simulator]]s, [[Backward Reasoning]] and [[Closed Set]] methods. | ||
The definition may be extended to other Busy Beaver function with different computational models. | |||
== List of Deciders == | == List of Deciders == | ||
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* [[Halting Segment]] | * [[Halting Segment]] | ||
* [[Cycler]] | * [[Cycler]] | ||
* [[Repeated Word List]] (RepWL) | * [[Repeated Word List]] (RepWL or RepWL_ES) | ||
* [[RWLAcc]], an accelerated simulator similar to Quick_Sim | |||
* [[NGram CPS|n-Gram Closed Position Set]] (n-Gram CPS) with the possible augmentations of Fixed-length history and Least Recent Usage history (LRU) | |||
== See also == | == See also == | ||
https://bbchallenge.org/method#deciders | https://bbchallenge.org/method#deciders | ||
Latest revision as of 21:31, 15 August 2026
A Decider (or a Filter) is a program which attempts to decide whether or not a given Turing machine (TM) will halt. Since the Halting Problem is uncomputable, no decider can decide all TMs, instead deciders categorize each TM into one of three categories: Halting, Proven Infinite, or Holdout.
There are a wide variety of methods used to construct deciders. Some broad categories are: Accelerated Simulators, Backward Reasoning and Closed Set methods.
The definition may be extended to other Busy Beaver function with different computational models.
List of Deciders
- Translated Cycler
- Backward Reasoning
- Closed Position Set (CPS)
- Closed Tape Language (CTL)
- Finite Automata Reduction (FAR)
- Inductive Proof System
- Bouncer
- Halting Segment
- Cycler
- Repeated Word List (RepWL or RepWL_ES)
- RWLAcc, an accelerated simulator similar to Quick_Sim
- n-Gram Closed Position Set (n-Gram CPS) with the possible augmentations of Fixed-length history and Least Recent Usage history (LRU)