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  2. Turing machine examples - Wikipedia

    en.wikipedia.org/wiki/Turing_machine_examples

    With regard to what actions the machine actually does, Turing (1936) [2] states the following: "This [example] table (and all succeeding tables of the same kind) is to be understood to mean that for a configuration described in the first two columns the operations in the third column are carried out successively, and the machine then goes over into the m-configuration in the final column."

  3. Turing machine - Wikipedia

    en.wikipedia.org/wiki/Turing_machine

    Descriptions of real machine programs using simpler abstract models are often much more complex than descriptions using Turing machines. For example, a Turing machine describing an algorithm may have a few hundred states, while the equivalent deterministic finite automaton (DFA) on a given real machine has quadrillions.

  4. Busy beaver - Wikipedia

    en.wikipedia.org/wiki/Busy_beaver

    A simple generalization is the extension to Turing machines with m symbols instead of just 2 (0 and 1). [10] For example a trinary Turing machine with m = 3 symbols would have the symbols 0, 1, and 2. The generalization to Turing machines with n states and m symbols defines the following generalized busy beaver functions:

  5. Turing completeness - Wikipedia

    en.wikipedia.org/wiki/Turing_completeness

    A related concept is that of Turing equivalence – two computers P and Q are called equivalent if P can simulate Q and Q can simulate P. [4] The Church–Turing thesis conjectures that any function whose values can be computed by an algorithm can be computed by a Turing machine, and therefore that if any real-world computer can simulate a ...

  6. Rule 110 - Wikipedia

    en.wikipedia.org/wiki/Rule_110

    These symbols represent the word on which the cyclic tag system is operating, and the first such symbol is destroyed upon consideration of every production rule. When this leading symbol is a 1, new symbols are added to the end of the string; when it is 0, no new symbols are added. The mechanism for achieving this is described below.

  7. Description number - Wikipedia

    en.wikipedia.org/wiki/Description_number

    Description numbers are numbers that arise in the theory of Turing machines. They are very similar to Gödel numbers, and are also occasionally called "Gödel numbers" in the literature. Given some universal Turing machine, every Turing machine can, given its encoding on that machine, be assigned a number. This is the machine's description number.

  8. Automata theory - Wikipedia

    en.wikipedia.org/wiki/Automata_theory

    Some machines have additional working tapes, including the Turing machine, linear bounded automaton, and log-space transducer. Transition function Deterministic : For a given current state and an input symbol, if an automaton can only jump to one and only one state then it is a deterministic automaton .

  9. Turing machine equivalents - Wikipedia

    en.wikipedia.org/wiki/Turing_machine_equivalents

    A Turing machine is a hypothetical computing device, first conceived by Alan Turing in 1936. Turing machines manipulate symbols on a potentially infinite strip of tape according to a finite table of rules, and they provide the theoretical underpinnings for the notion of a computer algorithm.