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  2. Turing machine - Wikipedia

    en.wikipedia.org/wiki/Turing_machine

    An oracle machine or o-machine is a Turing a-machine that pauses its computation at state "o" while, to complete its calculation, it "awaits the decision" of "the oracle"—an entity unspecified by Turing "apart from saying that it cannot be a machine" (Turing (1939), The Undecidable, p. 166–168).

  3. Configuration graph - Wikipedia

    en.wikipedia.org/wiki/Configuration_graph

    A configuration, also called an instantaneous description (ID), is a finite representation of the machine at a given time. For example, for a finite automata and a given input, the configuration will be the current state and the number of read letters, for a Turing machine it will be the state, the content of the tape and the position of the head.

  4. Turing completeness - Wikipedia

    en.wikipedia.org/wiki/Turing_completeness

    In computability theory, a system of data-manipulation rules (such as a model of computation, a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal if it can be used to simulate any Turing machine [1] [2] (devised by English mathematician and computer scientist Alan Turing).

  5. 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 .

  6. Linear bounded automaton - Wikipedia

    en.wikipedia.org/wiki/Linear_bounded_automaton

    This limitation makes an LBA a somewhat more accurate model of a real-world computer than a Turing machine, whose definition assumes unlimited tape. The strong and the weaker definition lead to the same computational abilities of the respective automaton classes, [1]: 225 by the same argument used to prove the linear speedup theorem.

  7. Universal Turing machine - Wikipedia

    en.wikipedia.org/wiki/Universal_Turing_machine

    In computer science, a universal Turing machine (UTM) is a Turing machine capable of computing any computable sequence, [1] as described by Alan Turing in his seminal paper "On Computable Numbers, with an Application to the Entscheidungsproblem". Common sense might say that a universal machine is impossible, but Turing proves that it is possible.

  8. Complexity class - Wikipedia

    en.wikipedia.org/wiki/Complexity_class

    A Turing machine that "solves" a problem is generally meant to mean one that decides the language. Turing machines enable intuitive notions of "time" and "space". The time complexity of a TM on a particular input is the number of elementary steps that the Turing machine takes to reach either an accept or reject state.

  9. Model of computation - Wikipedia

    en.wikipedia.org/wiki/Model_of_computation

    In computer science, and more specifically in computability theory and computational complexity theory, a model of computation is a model which describes how an output of a mathematical function is computed given an input. A model describes how units of computations, memories, and communications are organized. [1]