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         Turing Machine:     more books (100)
  1. Symmetric Turing Machine
  2. Educational Abstract Machines: Turing Machine
  3. The Universal Turing Machine. A Half-Century Survey. by Rolf (ed.): HERKEN, 1988
  4. Alan Turing: An entry from Gale's <i>Science and Its Times</i> by Phil Gochenour, 2000
  5. Machines, Computations, and Universality
  6. Informatique Théorique: Réseau de Neurones Artificiel, Linguistique Informatique, Prix Turing, Complexité, Machine à Vecteurs de Support (French Edition)
  7. The gene machine: An analysis of a Universal Turing machine by Robin Bloor, 1998
  8. A space bound for one-tape multidimensional turing machines (MIT/LCS/TM-145) by Michael Conrad Loui, 1979
  9. The Universal Turing Machine, Vol. 2 by Rolf Herken, 2010-01-01
  10. Unbounded hardware is equivalent to deterministic Turing machines (CMU-CS-81-143) by B Chazelle, 1981
  11. Construction of command languages and their translation into the program language of Turing machines by Hermann Bottenbruch, 1957
  12. Closed-form analytic maps in one and two dimensions can simulate Turing machines (SFI working papers) by Pascal Koiran, 1996
  13. Ad Infinitum : the Ghost in Turing's Machine-Taking Got Out of Mathematics and Putting the Body Back by Brian Rotman, 1993
  14. Zero-Knowledge Proof: Cryptography, Jean-Jacques Quisquater, Alice and Bob, Interactive Proof System, Turing Machine

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44. [Python-Dev] Object Customization (was: Arbitrary Attributes On Funcs And Method
def this(turing_machine) if stops(turing_machine) confusing = yes else confusing = no print this.confusing Python kills
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[Python-Dev] Object customization (was: Arbitrary attributes on funcs and methods)
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Fri, 14 Apr 2000 19:46:12 +0200 (IST) ... sucks = "no" >>> this.sucks = "yes" 'yes' Why on earth 'sucks' is not the object defined in the function's namespace? Who made that deliberate decision? Clearly 'this' defines a new namespace, so it'll be also legitimate to get a NameError, or to: 'no' Don't you think? def this(turing_machine): ... if stops(turing_machine): ... confusing = "yes" ... else: ... confusing = "no" ... >>> print this.confusing mzadka@geocities.com http://www.oreilly.com/news/prescod_0300.html http://www.linux.org.il we put the penguin in .com

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turing_machine ); state index = turing_max_index (machine) + 1; state- no = turing_max_state (machine) + 1; turing_set_state (machine, *state);
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52. Turing Machine - HaskellWiki
Retrieved from http//www.haskell.org/haskellwiki/turing_machine . This page has been accessed 4292 times. This page was last modified 1833,
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Turing machine
Categories Theoretical foundations Haskell theoretical foundations General
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Curry/Howard/Lambek ... Lambda abstraction Other
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1 Introduction
An article on Turing machines, maybe growing to a project to specify (and implement) a general purpose (toy or educational) programming language, that can describe each concrete Turing machine directly: a Turing machine definition language This article wants also to show an example how Haskell (and in general: functional programming) can have an impact on or suggest ideas even in (seemingly) entirely distant, remote areas. The impact of Haskell to this Turing machine definition language is more than simply using Haskell as an implementation language for this project. The very syntax of this Turing machine definition language (and its main feature, its

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    57. Turing Machine - Simple English Wikipedia, The Free Encyclopedia
    assume however that nondeterministic machines can work much faster on certain problems. Retrieved from http//simple.wikipedia.org/wiki/turing_machine
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    Turing machine
    From the Simple English Wikipedia, the free encyclopedia that anyone can change
    Jump to: navigation search Turing machine is a term from computer science . A Turing machine is a system of rules, states and transitions rather than a real machine. It was first described by Alan Turing . There are two purposes of a Turing machine. Either it can be used to decide a formal language or it solves mathematical functions . Turing machines are one of the most important formal models in the study of computer science.
    Contents
    change Common basics
    A Turing machine consists of the following components (simplified):
    • A finite set of states (with one state marked as start state , while running a Turing machine always has a current state An infinite tape with storage cells and a read/write-device that can move on the tape A definition of a so-called transition function
    Furthermore a working- alphabet (set of characters) has to be defined. When a Turing machine is started a word (out of the working-alphabet) must be present on the infinite tape of the machine. The read/write-device on the first character now reads the first character and depending on the current state of Turing machine the read/write-device overwrites the character with a new one or moves one cell to the left or to the right. Furthermore the current state of the machine can be switched.

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