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C SC 421: Artificial Intelligence
C SC 421: Artificial Intelligence

... the talent and expertise of others interested in machine intelligence for a month of brainstorming. He invited them to Vermont for "The Dartmouth summer research project on artificial intelligence." From that point on, because of McCarthy, the field would be known as Artificial Intelligence. ...
ai lect1
ai lect1

... Logic, methods of reasoning, mind as physical system foundations of learning, language, rationality ...
Artificial intelligence (AI)
Artificial intelligence (AI)

... and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2] As machines become increasingly ca ...
here
here

... Homework 2: Who did what For this homework, you will write three brief articles about famous researchers in Artificial Intelligence from the following list. Note: a pair, such as Russell & Whitehead, is treated as a single unit and counts for a single article. ...
History of Artificial Intelligence
History of Artificial Intelligence

... • McCarthy in 1958 defined a high level language LISP, a dominant AI programming language. In the same year McCarthy and others at MIT invented time sharing. Also in 1958, McCarthy published a paper entitled Programs with Common Sense, in which he described the Advice Taker, a hypothetical program t ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... – Attendees: Minsky, Allen Newell, Herb Simon – Coined term artificial intelligence ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... – Attendees: Minsky, Allen Newell, Herb Simon – Coined term artificial intelligence ...
Artificial Intelligence
Artificial Intelligence

... 1.1 Definition:The branch of computer science(CS) that a-makes it possible to perceive (‫ يدرك‬- ‫)يفهم‬, reason(‫)يستنتج‬, and act(‫يتخذ قرار‬-‫)يفعل‬. b-attempts to make SW & HW to produce results as those produced by people. c-tries to automate the intelligent behavior. perceive ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... – Attendees: Minsky, Allen Newell, Herb Simon – Coined term artificial intelligence ...
[9] Artificial intelligence has been the subject of tremendous
[9] Artificial intelligence has been the subject of tremendous

... deduction.[18][19] This, along with concurrent discoveries in neurology, information theory and cybernetics, inspired a small group of researchers to begin to seriously consider the possibility of building an electronic brain.[20] The field of AI research was founded at a conference on the campus of ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... -Coined term “artificial intelligence.” -Presentation of game playing programs and Logic Theorist. ...
File
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... be a fake; a legless master chess player was hidden inside.) It took the invention of the ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... – Attendees: Minsky, Allen Newell, Herb Simon – Coined term artificial intelligence ...
The Dream of an Intelligent Machine
The Dream of an Intelligent Machine

... are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which human mind has been applied. ...
Fifth Generation Languages
Fifth Generation Languages

... perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines". AI research is highly technical and specialised, deeply divided into subfields that often fail to ...
artificial intelligence
artificial intelligence

... the human believes he is talking to another human when he is really talking to a machine, the machine passes ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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