Lecture 19. Models of Computation (S&G, ch. 10). Models. A model is a tool intended to address a class of questions about some domain of phenomena They accomplish this by making simplifications ( idealizing assumptions ) relative to the class of questions As tools, models are:

ByL and L’ are Turing-recognizable, prove L is Turing-decidable. M TR. <w>. accept. w. B. accept. w. accept. reject. A. B checks if string w is in L, A checks if w is in L’ M TR halts because w is in either L or L’; B and A are run once.

ByArtificial Intelligence. CS482, CS682, MW 1 – 2:15, SEM 201, MS 227 Prerequisites: 302, 365 Instructor: Sushil Louis, sushil@cse.unr.edu , http://www.cse.unr.edu/~sushil. Syllabus. Webpage: http://www.cse.unr.edu/~sushil/class/ai/

ByLecture 24 – Decision Making. CS 490/590 Wesley Kerr. Quiz. On a piece of paper – no computers write code to complete the following task: Write a program that prints the numbers from 1 to 100. For multiples of five print “Fizz” instead of the number

ByTuring/Turing IEP Comparison. Turing vs Turing IEP vs. ASUS Transformer Book. Thank you.

ByMind and Body I. Bodies and Ghosts, Qualia, and Mind-Brain identity. Brie Gertler. A naturalistic dualist. The special character of ‘mind’. The limitations of the physical. The epistemic standing of reports of mental states. What is physicalism?.

ByIntroduction to Computer Science. A Quick Puzzle. Well-Formed Formula any formula that is structurally correct may be meaningless Axiom A statement that is defined to be true Production Rule A rule that generates a true statement from another true statement Valid Statement

By#2: Does TM M ever enter the 5 th cell on the tape?. M C5. Acc. Acc. <M,w>. <M,w>. U. Rej. Rej. U simulates M on input w for 5qg 5 steps. U accepts if M enters the 5 th cell, rejects if M accepts, rejects, or infinitely loops before the end of the steps.

ByThe Polish Solution of the German Enigma Machine. The Beginning of Allied Successes Against Enigma Chris Christensen Department of Mathematics and Statistics Northern Kentucky University. Warsaw, Poland. Jerzy Rozycki. Marian Rejewski. Antoni Palluth. Henryk Zygalski.

ByEnigma Cracking. All the efforts have been failed People need more information to crack it. The first Steps of Cracking: . The German spy Hans Thillo Schmidt provide the first documentation of Enigma. These documents make people to make a replica not to decode it.

ByCT3620 VETENSKAPSMETODIK FÖR TEKNIKOMRÅDET GRUNDLÄGGANDE VETENSKAPSTEORI Gordana Dodig-Crnkovic Department of Computer Science and Electronics Mälardalen University. HISTORY OF COMPUTER SCIENCE. LEIBNIZ: LOGICAL CALCULUS BOOLE: LOGIC AS ALGEBRA FREGE: MATEMATICS AS LOGIC CANTOR: INFINITY

ByCSE 105 Theory of Computation. Alexander Tsiatas Spring 2012. Theory of Computation Lecture Slides by Alexander Tsiatas is licensed under a Creative Commons Attribution- NonCommercial - ShareAlike 3.0 Unported License. Based on a work at http://peerinstruction4cs.org.

ByGiorgi Japaridze Theory of Computability. Reducibility. Episode 3. 3.1.a. Giorgi Japaridze Theory of Computability. The undecidability of the halting problem. Let HALT TM = {<M,w> | M is a TM and M halts on input w } HALT TM is called the halting problem.

By2.05.2011. New Models of Computation. Vadim Pesonen. New... in what respect? Computation beyond Turing Machines Super-Turing computation a.k.a. hypercomputation

ByPutting the Turing into Manufacturing: Algorithmic Automation and Recent Developments in Feeding and Fixturing. Ken Goldberg, UC Berkeley. The Turing Machine, 1936. Precise vocabulary: 0, 1 Class of primitive operations: Read, Write, Shift Left, Shift Right Well Formed Sequences

ByCDT403 Research Methodology in Natural Sciences and Engineering A History of Computing: A History of Ideas Gordana Dodig-Crnkovic Department of Computer Science and Electronic Mälardalen University, Sweden. HISTORY OF COMPUTING. LEIBNIZ: LOGICAL CALCULUS BOOLE: LOGIC AS ALGEBRA

ByComplexity theory and combinatorial optimization Class #2 – 17 th of March. …. where we deal with decision problems, finite automata, Turing machines pink dogs, …. But also P, NP, NP-completeness, …. Introduction to computational intractability.

ByTuring Machines (13.5) Longin Jan Latecki Temple University. Based on slides by Costas Busch from the course http://www.cs.rpi.edu/courses/spring05/modcomp/ and …. Models of computing. DFA - regular languages Push down automata - Context-free Bounded Turing M’s - Context sensitive

ByWhat Does it Mean to Think?. Our Working Definition of AI. Artificial intelligence is the study of how to make computers do things that people are better at or would be better at if:. they could extend what they do to a World Wide Web-sized amount of data, and not make mistakes.

ByHyper computation. Introduction & Philosophy. Preface. Jeroen Broekhuizen History before Hyper computing Christian Gilissen Introduction & philosophy of Hyper computing Maurice Samulski Hyper computing by examples. Alan Turing. Well known

ByView Turing PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of Turing PowerPoint presentations. You can view or download Turing presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.