Examples of 'turing machines' in a sentence

Meaning of "turing machines"

Turing machines are hypothetical computational devices that were introduced by the mathematician and computer scientist Alan Turing. They consist of a tape and a head that can read and write symbols on the tape. Turing machines are used in theoretical computer science to explore the limits of what can be computed and to understand the foundations of algorithms and computation
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  • plural of Turing machine

How to use "turing machines" in a sentence

Basic
Advanced
turing machines
Turing machines simplify the statement of algorithms.
Tree stack automata are equivalent to Turing machines.
Turing machines and therefore they can.
All are equivalent to the computational power of Turing machines.
Turing machines are frequently used as theoretical models for computing.
These machines are a subset of the collection of Turing machines.
Turing machines are to this day a central object of study in theory of computation.
All modern computers are in essence universal Turing machines.
Turing machines can define computational processes that do not terminate.
More advanced inductive Turing machines are much more powerful.
Turing machines describe algorithms independent of how much memory they use.
Computation histories are more commonly used in reference to Turing machines.
Some Turing machines might be specific to doing particular calculations.
Even more sophisticated models use reversible Turing machines.
Nondeterministic Turing machines have only bounded nondeterminism.

See also

It is a special case of the hierarchy of bounded alternating Turing machines.
Simple inductive Turing machines are equivalent to other models of computation.
Description numbers are numbers that arise in the theory of Turing machines.
Another limitation of Turing machines is that they do not model concurrency well.
Algorithmic learning theory investigates the learning power of Turing machines.
There are two main distinctions between conventional Turing machines and simple inductive Turing machines.
Computational complexity theory models randomized algorithms as probabilistic Turing machines.
Neural nets can be used as Turing Machines may fall in this.
Art generated by an artificial intelligence system formed by random Turing machines.
Probabilistic Turing machines.
A closely related and now quite popular concept is the idea of Turing machines.
On one hand, Turing machines are a mathematical theory.
Turing reduced the halting problem for Turing machines to the.
Inductive Turing machines implement an important class of super-recursive algorithms.
For some applications this definition is preferable since it does not mention probabilistic Turing machines.
Nondeterministic Turing machines.
Thus, Turing machines prove fundamental limitations on the power of mechanical computation.
You defy him to name a bigger number without invoking Turing machines or some equivalent.
Compositions of Turing machines and Markov ‟ s normal algorithms.
About algorithms and Turing machines.
Relationship to partial Turing machines = = A general Turing machine will compute a partial function.
Randomized algorithm NIST website on probabilistic Turing machines.
Thus, a statement about the limitations of Turing machines will also apply to real computers.
One-dimensional absolute turmites are of course simply known as Turing machines.
I learnt about Turing machines and Gödel 's theorem.
The epochal paper where Turing defines Turing machines.
Read-only right moving Turing machines are a particular type of Turing machine.
First, some computations of inductive Turing machines do halt.
Rules of inductive Turing machines determine when a computation ( stopping or non-stopping ) gives a result.
And Turing also showed that Lambda Calculus and Turing machines are mathematically equivalent.
The Church-Turing thesis attempts to define computation and computability in terms of Turing machines.
Under this interpretation, there certainly are halting Turing machines which compute the n-th prime number.
This shows the robot in its environment is directly related to 2D Turing machines.
Further, these Universal Turing Machines are what we today call computers.
Hence, the halting problem is undecidable for Turing machines.

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