PPT-Turing

Machines Recursive and Recursively Enumerable Languages Turing Machine 1 TuringMachine Theory The purpose of the theory of Turing machines is to prove that certain specific languages have no algorithm. M Turing 1950 Computing Machinery and Intellig ence Mind 49 433460 COMPUTING MACHINERY AND INTELLIGENCE By A M Turing 1 The Imit ation Gam I propose to consider the question Can m achines think This sh They provide a precise formal de64257nition of what it means for a function to be computable Many other de64257nitions of computation have been proposed over the years for example one could try to formalize precisely what it means to run a program Example. Chaoyang. Li. RULE’S . If read 1, write 0, go right, repeat.. If read 0, write 1, HALT!. If read . . , write 1, HALT!. Let’s see how they are carried out on a piece of paper that contains 111101:. What we have learned. The failures of dualism, behaviorism, and identity theory were not in vain!. Each failure reveals important features of mental states that any theory ought to be able to handle.. CSE 335/435. H. é. ctor Mu. ñ. oz-Avila. You Have Seen this Before!. (A consumer’s Customer Service Experience). Have you called a customer service support line lately?. It goes something like this (automatic machine):. Comparison Presentation. - Alan Turing. - . Johann . Bernoulli. By Michael. Chan. Who is Alan Turing?. THIS is Alan. Turing!. An English mathematician and a computer scientist.. Studies at University of Cambridge in 1931 and after he had graduated, he went to University of Manchester.. 1912-1954. Mathematical Agenda set by Hilbert. Requirements for the solution of a mathematical problem. It shall be possible to establish the correctness of the solution by means of a finite number of steps based upon a finite number of hypotheses which are implied in the statement of the problem and which must be exactly formulated.. Announcements. Read: Searle “Minds Brains and Programs”. I will be holding extra office hours on Wednesday after lecture.. The big question. Before proceeding to look at an instance of a computational theory of mind (CTM), we need to address an important question: could a machine ever think?. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. the Halting Problem. This work is licensed under the Creative Commons Attribution-. NonCommercial. -. ShareAlike. 3.0 . Unported. License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.. Wataru. . Yahiro. and Masami . Hagiya. The University of Tokyo. . December . 12-13, . 2016. TPNC 2016 at Sendai. Outline. Background. DNA Strand Displacement. Space-bounded Computation with DNA. Space-unbounded . Tom Wildenhain. Introduction. As many users are well-aware, Microsoft PowerPoint ® offers unparalleled presentation editing tools, enabling the creation of professional, animation-laden slides with minimal effort (Source: Microsoft).. In-Class Activity…. Roadmap. Worksheets will not be returned . In-class activities . reinforce. what was covered in. Assigned reading. Assigned videos. Lecture. Worksheets . do NOT include new material . In this topic, we will:. Ask what is computable. Describe a Turing machine. Define Turing completeness. Computability. How do we define what is and what is not computable?. Is it possible to write a C++ function which cannot be written using Pascal, Java, or C#, or vice versa?.