beekman7_ppt_15
... Turing did not intend this test to be the only way to demonstrate machine intelligence; he pointed out that a machine could fail and still be intelligent Even so, Turing believed that machines would be able to pass his test by the turn of the century So far no computer has come close, in spite of 40 ...
... Turing did not intend this test to be the only way to demonstrate machine intelligence; he pointed out that a machine could fail and still be intelligent Even so, Turing believed that machines would be able to pass his test by the turn of the century So far no computer has come close, in spite of 40 ...
Answering Subcognitive Turing Test Questions: A
... interactively with the two subjects by means of a teletype. The teletype is intended to screen the examiner from information that is not relevant to determining intelligence, such as the physical appearance of the subjects. The task of the examiner is to guess who is the human subject and who is not ...
... interactively with the two subjects by means of a teletype. The teletype is intended to screen the examiner from information that is not relevant to determining intelligence, such as the physical appearance of the subjects. The task of the examiner is to guess who is the human subject and who is not ...
Answering Subcognitive Turing Test Questions: A Reply
... interactively with the two subjects by means of a teletype. The teletype is intended to screen the examiner from information that is not relevant to determining intelligence, such as the physical appearance of the subjects. The task of the examiner is to guess who is the human subject and who is not ...
... interactively with the two subjects by means of a teletype. The teletype is intended to screen the examiner from information that is not relevant to determining intelligence, such as the physical appearance of the subjects. The task of the examiner is to guess who is the human subject and who is not ...
Painting Theory Machines
... vice versa. Yet, the past decade has revealed a variety of weaknesses in strategies that employ Baudrillard’s simulacrum as a map of reception. Moreover, even ten years ago, many were skeptical of a comparison or “engagement” between high technology and traditional high art. ...
... vice versa. Yet, the past decade has revealed a variety of weaknesses in strategies that employ Baudrillard’s simulacrum as a map of reception. Moreover, even ten years ago, many were skeptical of a comparison or “engagement” between high technology and traditional high art. ...
Introduction to AI (COMP-424) - McGill School Of Computer Science
... McGill University, COMP-424, Lecture 1 - January 7, 2013 ...
... McGill University, COMP-424, Lecture 1 - January 7, 2013 ...
kapor mitch speaks
... substitutability of man by machine implies no moral judgment. The thrust of Turing's argument is in fact to undermine any special claims for man (or the human) as the crown of creation, or as intrinsically endowed with unique and ideal qualities. In L'Ève future an artificial woman is needed to repa ...
... substitutability of man by machine implies no moral judgment. The thrust of Turing's argument is in fact to undermine any special claims for man (or the human) as the crown of creation, or as intrinsically endowed with unique and ideal qualities. In L'Ève future an artificial woman is needed to repa ...
The Next Step: Exponential Life 1 — PB
... which a human judge carried out a five-minute-long conversation with two hidden entities in parallel. One of the entities was a human and the other was a machine. It was very much up to the judge as to the nature of the conversation and it was their decision as to how much time they spent conversing ...
... which a human judge carried out a five-minute-long conversation with two hidden entities in parallel. One of the entities was a human and the other was a machine. It was very much up to the judge as to the nature of the conversation and it was their decision as to how much time they spent conversing ...
Robot Learning, Future of Robotics
... "That's impossible. What about the radio signals? The messages to the stars.“ "They use the radio waves to talk, but the signals don't come from them. The signals come from machines.“ "So who made the machines? That's who we want to contact." CS 491/691(X) - Lecture 13 ...
... "That's impossible. What about the radio signals? The messages to the stars.“ "They use the radio waves to talk, but the signals don't come from them. The signals come from machines.“ "So who made the machines? That's who we want to contact." CS 491/691(X) - Lecture 13 ...
act
... • Both share with AI the following characteristic: The available theories do not explain (or engender) anything resembling human-level general intelligence Hence, all three fields share one principal direction! ...
... • Both share with AI the following characteristic: The available theories do not explain (or engender) anything resembling human-level general intelligence Hence, all three fields share one principal direction! ...
Adapting the Turing Test for Embodied Neurocognitive Evaluation of
... an even more difficult test to pass. Yet, the other two aspects of the test may suggest ways to design and implement a useful version of the test. The Meaning of Indistinguishable. A second aspect of the Turing Test is that it looks for “indistinguishable” behavior. On any task, the range of human b ...
... an even more difficult test to pass. Yet, the other two aspects of the test may suggest ways to design and implement a useful version of the test. The Meaning of Indistinguishable. A second aspect of the Turing Test is that it looks for “indistinguishable” behavior. On any task, the range of human b ...
The Turing Ratio - Journal of Evolution and Technology
... 1.1 PROBLEM: MEASURING MIND The Turing Test was proposed by Alan Turing in [Turing 1950]. By providing an operational benchmark which could plausibly be passed by an entity only if that entity was in some sense intelligent, Turing moved the discussion of artificial intelligence to a new and more pro ...
... 1.1 PROBLEM: MEASURING MIND The Turing Test was proposed by Alan Turing in [Turing 1950]. By providing an operational benchmark which could plausibly be passed by an entity only if that entity was in some sense intelligent, Turing moved the discussion of artificial intelligence to a new and more pro ...
CS 561a: Introduction to Artificial Intelligence
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
323-670 ปัญญาประดิษฐ์ (Artificial Intelligence)
... a computer is capable of humanlike thought. As proposed (1950) by the British mathematician Alan Turing, a person (the interrogator) sits with a teletype machine isolated from two correspondents—one is another person, one is a computer. Artificial Intelligence ...
... a computer is capable of humanlike thought. As proposed (1950) by the British mathematician Alan Turing, a person (the interrogator) sits with a teletype machine isolated from two correspondents—one is another person, one is a computer. Artificial Intelligence ...
Is Artificial Intelligence Possible? Bachelor of Science Thesis
... words in her hand. This is fairly similar to a computer that reads texts, reading it as string of characters one after another. This should be enough, if you strip away the unnecessary things this is all you need. A computer can be intelligent even without the ability to understand human speech or s ...
... words in her hand. This is fairly similar to a computer that reads texts, reading it as string of characters one after another. This should be enough, if you strip away the unnecessary things this is all you need. A computer can be intelligent even without the ability to understand human speech or s ...
CS 561a: Introduction to Artificial Intelligence
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
The Phil of AI 2 - Digital Encyclopedia of Charles S. Peirce
... see whether the man could deceive a contestant into mistaking him for the woman (in a context that would not give the game away), he proposed pitting a human being against an inanimate machine (equipped with a suitable program and mode of communication). Thus, if an interlocutor could not differenti ...
... see whether the man could deceive a contestant into mistaking him for the woman (in a context that would not give the game away), he proposed pitting a human being against an inanimate machine (equipped with a suitable program and mode of communication). Thus, if an interlocutor could not differenti ...
ttay8_ppt_15b
... Many computer applications speak like humans by playing prerecorded digitized speech (along with other digitized sounds) stored in memory or on disk. Recorded speech won’t work for applications in which the text to be spoken is unpredictable—such as a talking word processor—because all the sounds mu ...
... Many computer applications speak like humans by playing prerecorded digitized speech (along with other digitized sounds) stored in memory or on disk. Recorded speech won’t work for applications in which the text to be spoken is unpredictable—such as a talking word processor—because all the sounds mu ...
CS 460: Artificial Intelligence
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
CS 561a: Introduction to Artificial Intelligence
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
session01
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
... Epistemology Study of the kinds of knowledge that are required for solving problems in the world. Ontology Study of the kinds of things that exist. In AI, the programs and sentences deal with various kinds of objects, and we study what these kinds are and what their basic properties are. ...
Turing test
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.