PPT-AI and Machine Learning The Turing Test

Turing attack How can we show a machine is Intelligent Let A machine Let C Intelligent Let B someone that we claim is intelligent How can we show A C Hmm Its subjective Well most . 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:. Class 15: . Church-Turing Thesis. Spring 2010. University of Virginia. David Evans. Turing . Machine Recap. . . .. FSM. Defining. TM Computing Model. . . .. FSM. TM Computing Model. Drawing Turing Machines. 14. th. September, 2012. Turing and Ordinal Logic. (Or “To Infinity and Beyond …”). James Harland. School of Computer Science & IT, RMIT University. james.harland@rmit.edu.au. Turing at Princeton. 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.. Chapter 4, 5 & 7. Russel’s. Paradox. http://www.jimloy.com/logic/russell.htm. An Index is a book that lists other books in the library. Index of all biology text books in the library.. Consider the index of all indices, i.e., book that lists other indices.. 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?. Theory of Computation Lecture 24: Turing Machines III. 1. Turing Machines. Actually, Turing’s original model of a computer was different from the Post-Turing language.. 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 . Machines. Recursive and Recursively Enumerable Languages. Turing Machine. 1. Turing-Machine Theory. The purpose of the theory of Turing machines is to prove that certain specific languages have no algorithm.. . This is . THE. book!. THE HERO OF THIS STORY. Alan . Mathison. Turing (1912-1954). Who conceived the idea of the computer . in a field of flowers in 1935. And who we owe credit for computers and how they. Big Words, Busy Beavers, and The Cake of Computing David Evans www.cs.virginia.edu/evans flickr : mwichary TAPESTRY Workshop University of Virginia 15 July 2009 flickr : chotda graphics games web apps 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?.