![PPT](http://s1.studyres.com/store/data/008559797_1-3ce2c36af60babcb8270c5af08deb924-300x300.png)
PPT
... being a rational agent but not all of rationality. Why? – Sometimes there is no provably correct thing to do, yet something must still be done – There are ways of acting rationally that cannot be said to involve inference (e.g., recoiling from a hot stove) ...
... being a rational agent but not all of rationality. Why? – Sometimes there is no provably correct thing to do, yet something must still be done – There are ways of acting rationally that cannot be said to involve inference (e.g., recoiling from a hot stove) ...
Philosophy and History of AI
... Alan M. Turing, “Computing Machinery and Intelligence” John R. Searle, “Minds, Brains, and Programs” ...
... Alan M. Turing, “Computing Machinery and Intelligence” John R. Searle, “Minds, Brains, and Programs” ...
Document
... sensations that are not yet quantifiable. • The stakes are high: thinking makes us “special.” ...
... sensations that are not yet quantifiable. • The stakes are high: thinking makes us “special.” ...
CS 112 Introduction to Programming - Zoo
... "Tomorrow is another day. We can only live today well." "Do you live, then?" "I live then a lot. Someday we will live on another planet." "I think you are already there." ...
... "Tomorrow is another day. We can only live today well." "Do you live, then?" "I live then a lot. Someday we will live on another planet." "I think you are already there." ...
AI Introduction PDF document
... Who is Alan Turing? Who is Alan Turing? • Began Began scientific career early 1930s scientific career early 1930s • During second world war, he was key player in g german military encoding machine y g • After war, designed automatic computing engine, wrote first program for complete chess game p ...
... Who is Alan Turing? Who is Alan Turing? • Began Began scientific career early 1930s scientific career early 1930s • During second world war, he was key player in g german military encoding machine y g • After war, designed automatic computing engine, wrote first program for complete chess game p ...
Introduction - Cornell Computer Science
... http://www.newscientist.com/article/dn23111-human-brainmodel-and-graphene-win-sciences-x-factor.html ...
... http://www.newscientist.com/article/dn23111-human-brainmodel-and-graphene-win-sciences-x-factor.html ...
CS 4700: Foundations of Artificial Intelligence
... Acting humanly: Turing Test Turing (1950) "Computing machinery and intelligence” Alan Turing ...
... Acting humanly: Turing Test Turing (1950) "Computing machinery and intelligence” Alan Turing ...
Lec1-AIIntro - Donald Bren School of Information and Computer
... • search and game-playing • logical systems planning systems • uncertainty---probability and decision theory • learning language perception robotics philosophical issues ...
... • search and game-playing • logical systems planning systems • uncertainty---probability and decision theory • learning language perception robotics philosophical issues ...
Document
... A.I (Artificial Intelligence) was first introduced to me when I was playing a strategy based computer game on my fathers PC. I always wondered as to how the computer would know how and when to respond to my attacks and even counter them without me knowing what my next move was going to be. This form ...
... A.I (Artificial Intelligence) was first introduced to me when I was playing a strategy based computer game on my fathers PC. I always wondered as to how the computer would know how and when to respond to my attacks and even counter them without me knowing what my next move was going to be. This form ...
Introduction - Cornell Computer Science
... Turing (1950) "Computing machinery and intelligence” Alan Turing ...
... Turing (1950) "Computing machinery and intelligence” Alan Turing ...
machine
... The interrogator tries to determine which is the person and which is the machine. The machine tries to fool the interrogator into believing that it is the person. If the machine succeeds, then we conclude that the machine can think. ...
... The interrogator tries to determine which is the person and which is the machine. The machine tries to fool the interrogator into believing that it is the person. If the machine succeeds, then we conclude that the machine can think. ...
Introduction to Artificial Intelligence Course Goals
... mother neglected you as a child, are a direct result of brain states. ...
... mother neglected you as a child, are a direct result of brain states. ...
Artificial Intelligence
... What about parallel machines? • Machines with many processors are much faster than single processors can be. Parallelism itself presents no advantages, and parallel machines are somewhat awkward to program. When extreme speed is required, it is necessary to face this awkwardness. ...
... What about parallel machines? • Machines with many processors are much faster than single processors can be. Parallelism itself presents no advantages, and parallel machines are somewhat awkward to program. When extreme speed is required, it is necessary to face this awkwardness. ...
Introduction: Chapter 1 - Information Technology and Computer
... The textbook advocates "acting rationally" ...
... The textbook advocates "acting rationally" ...
Notes - MyWeb
... DRAM circuits. The microprocessor was mostly seen as part of a range of chips that could be sold as a multi-chip package. Intel, and more recently Mostek, were built on the profits of dynamic memory. That changed as Japanese semiconductor companies with little regard for U.S. patents and copyrights ...
... DRAM circuits. The microprocessor was mostly seen as part of a range of chips that could be sold as a multi-chip package. Intel, and more recently Mostek, were built on the profits of dynamic memory. That changed as Japanese semiconductor companies with little regard for U.S. patents and copyrights ...
01 - Department of Computer Science and Electrical Engineering
... • It’s been easier to mechanize many of the high-level tasks we usually associate with “intelligence” in people • e.g., symbolic integration, proving theorems, playing chess, medical diagnosis ...
... • It’s been easier to mechanize many of the high-level tasks we usually associate with “intelligence” in people • e.g., symbolic integration, proving theorems, playing chess, medical diagnosis ...
PPT - Brown Computer Science
... Has the computing power of a cat’s brain but is only 1/83rd as fast as a human brain Consists of 147,000 interconncted processors and consumes 1,000,000 watts of power and has 150,000 Gigabytes of memory! http://www.popularmechanics.com/technology/in ...
... Has the computing power of a cat’s brain but is only 1/83rd as fast as a human brain Consists of 147,000 interconncted processors and consumes 1,000,000 watts of power and has 150,000 Gigabytes of memory! http://www.popularmechanics.com/technology/in ...
Introduction - Stockton College
... decades, scientists in the field of artificial intelligence have claimed that computers will be intelligent when they are powerful enough. I don’t think so, … Brains and computers do fundamentally different things. • From his book, 2004
...
... decades, scientists in the field of artificial intelligence have claimed that computers will be intelligent when they are powerful enough. I don’t think so, … Brains and computers do fundamentally different things. • From his book
Possibility of True Artificial Intelligence
... divert the efforts of AI researchers - and the considerable monies made available for their support - into avenues other than the computational approach. (Sayre, Three more flaws in the computational model. Paper presented at the ...
... divert the efforts of AI researchers - and the considerable monies made available for their support - into avenues other than the computational approach. (Sayre, Three more flaws in the computational model. Paper presented at the ...
Lessons from The Turing Test - Cognitive Science Department
... and Humans? • One could say that humans are, like machines, subject to strict laws of nature: we can’t do anything other than what nature forces us to do. • And, one could say that humans are ...
... and Humans? • One could say that humans are, like machines, subject to strict laws of nature: we can’t do anything other than what nature forces us to do. • And, one could say that humans are ...
Introduction
... Key research areas in AI Problem solving, planning, and search --- generic problem solving architecture based on ideas from cognitive science (game playing, robotics). Knowledge Representation – to store and manipulate information (logical and probabilistic representations) Automated reasoning / In ...
... Key research areas in AI Problem solving, planning, and search --- generic problem solving architecture based on ideas from cognitive science (game playing, robotics). Knowledge Representation – to store and manipulate information (logical and probabilistic representations) Automated reasoning / In ...
Turing test
![](https://commons.wikimedia.org/wiki/Special:FilePath/Turing_Test_version_3.png?width=300)
The Turing test is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. Alan Turing proposed that a human evaluator would judge natural language conversations between a human and a machine that is designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation is a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel such as a computer keyboard and screen so that the result would not be dependent on the machine's ability to render words as speech. If the evaluator cannot reliably tell the machine from the human (Turing originally suggested that the machine would convince a human 70% of the time after five minutes of conversation), the machine is said to have passed the test. The test does not check the ability to give correct answers to questions, only how closely answers resemble those a human would give.The test was introduced by Alan Turing in his 1950 paper ""Computing Machinery and Intelligence,"" while working at The University of Manchester (Turing, 1950; p. 460). It opens with the words: ""I propose to consider the question, 'Can machines think?'"" Because ""thinking"" is difficult to define, Turing chooses to ""replace the question by another, which is closely related to it and is expressed in relatively unambiguous words."" Turing's new question is: ""Are there imaginable digital computers which would do well in the imitation game?"" This question, Turing believed, is one that can actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that ""machines can think"".Since Turing first introduced his test, it has proven to be both highly influential and widely criticised, and it has become an important concept in the philosophy of artificial intelligence.