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CISB450 - Department of Computer and Information Science
CISB450 - Department of Computer and Information Science

...  Basic concepts in discrete structures, probability, calculus, and linear algebra.  Intermediate programming. Course objectives:  Introduce to students the major topics of artificial intelligence and application areas. [a]  Introduce students to the methods and algorithms for developing intellig ...
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... deciphering the book of nature, nor a Cartesian thinker whose rigorous and elegant observations revealed rational nature ordered according with God’s greater plan. Rather, it was an “agent,” operating against an obscure and insidious enemy. Though terms such as “code,” “noise,” “information” and “fe ...


... Nonmonotonic Reasoning was held 10 to 12 June 1996 in Timberline, Oregon. The aim of the workshop was to bring together active researchers interested in nonmonotonic reasoning to discuss current research, results, and problems of both a theoretical and a practical ...
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Human-Level Artificial Intelligence? Be Serious!

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... Sometimes it’s useful to have a concrete example of a small, portable, physically embodied intelligence—say, for example, me. Homo sapiens does indeed stand as a compelling existence proof that machine intelligence should be possible. Unless you ascribe some sort of magical, religious, or quantum-dy ...
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EVOLUTIONARY COMPUTATION

... mance. The drawbacks are two-fold. The most obvious shortcoming is that this optimized behavior is applicable in only a very limited domain. The more fundamental flaw is that this approach does not contribute to an understanding of the intelligence that we observe in humans, animals, social groups, ...
What has AI in Common with Philosophy?
What has AI in Common with Philosophy?

... Artificial intelligence and philosophy have more in common than a science usually has with the philosophy of that science. This is because human level artificial intelligence requires equipping a computer program with some philosophical attitudes, especially epistemological. The program must have bu ...
Intelligence - Barbara Hecker
Intelligence - Barbara Hecker

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Letters

... must point out that it is the responsibility of a scientist or engineer to document clearly the known limitations of any method he develops and publishes. In addition to truth in packaging, a clear and unblinking examination of the limitations of one’s own work is an invaluable guide to further rese ...
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Artificial Intelligence What is an expert system?

... Martin, and Moses at MIT to manipulate mathematical expressions symbolically. One of the first expert systems. Written in LISP. Evolved into a widely used commercial product. ...
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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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