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The Turing machine was invented in 1936 by British mathematician Alan Turing.
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A Turing machine is a machine that can perform any possible computation, and emulate any real world computer, except other Turing machines.
A Universal Turing machine however, is a theoretical machine that could even emulate Turing Machines.
In actuallity they're both the same, since if you fed the tape from a Turing machine into another Turing machine, the second would in essence be emulating the first.
Its also useful to note that Turing machines aren't really "machines" per se, but actually models of the process of computation itself.
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One Turing machine, with fixed set of transitions, which can simulate any Turing machine, including itself, and thus can compute anything computable
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offline turing machine is like standard turing machine which imlemented by adding a control unit(temp storage)and seperate input tape..
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The machine developed by Alan Turing was called the Turing Machine. It was a theoretical computing device that laid the groundwork for modern computers and the concept of algorithmic computation.
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The Turing machine is the theoretical underpinning of all modern computing devices. The Turing machine is not a physically constructed device, but a way of conceptualizing computer algorithms. See link.
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Yes, the language is recognized by a co-Turing-recognizable machine.
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A Turing machine can be built to accept the language defined by the keyword.
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Turing machine state diagrams are visual representations of the transitions between states in a Turing machine. They typically consist of circles representing states and arrows indicating the transitions between them. An example of a Turing machine state diagram could be one that shows the transitions between states for a machine that adds 1 to a binary number.
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A multiple tape Turing machine has more than one tape, allowing it to perform multiple operations simultaneously. This gives it more computational power and efficiency compared to a single tape Turing machine, which can only perform one operation at a time.
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Yes, it is possible to create a programming language that is Turing complete, allowing it to simulate any algorithm or computation that can be performed by a Turing machine.
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A deterministic Turing machine follows a single path of computation based on the input, while a non-deterministic Turing machine can explore multiple paths simultaneously. This means that non-deterministic machines have the potential to solve problems faster, but determining the correct path can be more complex.
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Alan Turing is considered to be the father of computers because he invented the Turing machine. The Turing machine is thought to be the first model of a computer.
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The Turing Machine was part of a mathematical proof in Turing's paper "On Computable Numbers". The proof showed that there are non-computable numbers, and problems that no computer (no matter how it is built or programmed) can solve. However the proof did not give an example of either (such proofs of existence usually don't produce examples).
The Turing Machine was never intended to be built, and it is a very inefficient and impractical computer.
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The purpose of a Turing test is to determine a machine's ability to exhibit intelligent behavior that is indistinguishable from that of a human. It tests whether a machine can successfully imitate a human to the extent that another human interacting with it cannot differentiate between the two.
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A multitape Turing machine has multiple tapes for input and output, allowing it to process information more efficiently than a single-tape Turing machine. This increased computational power enables multitape machines to solve certain problems faster and with less effort compared to single-tape machines.
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Yes, it is true that PowerPoint is Turing complete. This means that it has the ability to simulate any algorithm or computation that a Turing machine can perform.
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To construct a Turing machine, one must define its states, symbols, transition rules, and initial state. The machine's behavior is determined by these components, allowing it to read, write, and move on an infinite tape. By following these guidelines, a functioning Turing machine can be created to solve various computational problems.
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That sounds like the description of a Turing machine, which was a theoretical machine described by Alan Turing.
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Yes, Conway's Game of Life is Turing complete, meaning it can simulate any algorithm or computation that a Turing machine can perform.
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A non-deterministic Turing machine can explore multiple paths simultaneously, potentially leading to faster computation for certain problems. This makes it more powerful than a deterministic Turing machine in terms of computational speed. However, the non-deterministic machine's complexity is higher due to the need to consider all possible paths, which can make it harder to analyze and understand its behavior.
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Imagine two people, intelligent person A and thick person B. Both are Turing testing a machine. Person B, being thick, cannot tell that it is a machine. The Turing Test says that the machine is still thinking. Person A can see through it and can tell the difference between its responses and those of someone who is actually thinking. So the Turing Test says the machine is not thinking. So it is and it isn't thinking, a clear contradiction and thus the Turing Test cannot be correct.
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A Turing Machine is a theoretical computing machine in math to serve as an ideal model for mathematical calculation. A busy beaver is an n-state, 2 color Turing Machine which writes a maximum number of 1s before halting.
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A Turing machine typically has a finite number of states to perform its computational tasks effectively. The exact number of states can vary depending on the complexity of the task at hand, but a Turing machine usually has a small number of states to keep the computation manageable and efficient.
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The correct term is "Turing machine," named after mathematician Alan Turing. It is a theoretical device that manipulates symbols on a strip of tape according to a table of rules, used to simulate the logic of a computer algorithm.
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A system is considered Turing complete if it can simulate any algorithm or computation that a Turing machine can perform. This means that the system has the ability to solve any problem that is computationally solvable.
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If you mean Turing machine with two colors, then there is infinite number of such machines. There are machines with 43, 18, 5 and 3 states, but trivially we can made machine with more states
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Alan Turing didn't invent Enigma you complete inbacile. He cracked the code that the Germans were sending with the Enigma machine once. And it wasn't just his it was a whole team of people.
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The decider Turing machine is a theoretical concept used in computer science to determine if a problem is computable. It acts as a tool to analyze and decide whether a given problem can be solved algorithmically. By simulating the behavior of the decider Turing machine, researchers can assess the computability of a problem and understand its complexity.
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In the year 1936, The Turing machine was developed featuring computability and was considered a universal machine.
I do not agree. There is no such thing as "the Turing machine", at least not as a material machine. It is a purely theoretical machine, it features, among other things a tape of infinite length.
Turing did help in building Colossus, a system used to break German ciphers, but I think this was in 1943. He also worked on the so-called bombs which were a further development of a Polish code-breaking approach (see related link).
Who built the first computer is, however, subject of a lot of debate.
Turing was certainly one of the first to describe the concept of computability mathematically using his theoretical machine.
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maybe.
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No, and no.
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The Turing test uses a human judge engaged in remote conversation with two parties: another human and a machine. If the judge cannot tell which party is the human, the machine passes the test.
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The Turing machine, proposed by Alan Turing in 1936, laid the theoretical foundation for modern computers by demonstrating that a machine could perform any computation that could be described algorithmically. This concept influenced the design and functionality of modern computers, leading to the development of programmable machines capable of executing complex tasks efficiently.
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The halting problem is significant because it shows that there are some problems that a Turing machine cannot solve. It demonstrates the limitations of what a Turing machine can do, as it cannot determine in all cases whether a given program will eventually stop or run forever. This highlights the boundaries of computation and the complexity of certain problems that cannot be solved algorithmically.
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quite possibly.
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Jon Agar has written:
'Turing and the Universal Machine'
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A push down automaton can actually store information in a stack as it processes it. It can then choose what to do next by looking at the top of the stack.
DFAs and NFAs can't do that stuff, but any DFA or NFA can also be represented as a push down automaton.
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Yes, the Game of Life, a cellular automaton devised by mathematician John Conway, is not Turing complete. It is a zero-player game that follows simple rules and does not have the ability to perform arbitrary computations like a Turing machine.
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Non-Turing recognizable languages are languages that cannot be recognized by a Turing machine. Examples include the language of palindromes over a binary alphabet and the language of balanced parentheses. These languages differ from Turing recognizable languages in that there is no algorithmic procedure that can determine whether a given input belongs to the language.
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Turing complete refers to a system or language that can perform any computation that can be done by a Turing machine. This means it can solve any problem that is computable. Computational universality is the idea that any Turing complete system can simulate any other Turing complete system, showing that they are all equally powerful in terms of computation.
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Turing machines are more like theoretical machines than things you'd actually build. (Though it has been done; check out aturingmachine.com!)
However, there are many applets on the web that simulate turing machines. Try searching for some!
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as turing machine acts as a recognizer, acceptor , generator
the applications are:
1)storage in finate control (eg:-string with alternate symbols)
2)multiple tracks (eg:-to check prime no. or not)
3)checking of symbols(eb:- palindromes checking)
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A Turing machine is a theoretical model of a computer that can perform any computation that can be done by a computer. It operates by reading and writing symbols on an infinite tape, following a set of rules to determine its actions based on the current symbol it is reading and its internal state.
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