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Logicist AI in Mcarthy and Hayes (1969)
Logicist AI in Mcarthy and Hayes (1969)

... By Matt Paisner ...
The calculus of self-modifiable algorithms: planning, scheduling and
The calculus of self-modifiable algorithms: planning, scheduling and

... The Calculus of Self-Modifiable Algorithms (CSA), as described in [3-6], was designed to be a universal theory for intelligent and parallel systems, integrating various styles of programming and applied in different domains of future generation computers. The use of artificial intelligence in future ...


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intelligence and intelligent machines

... to define. The American College Dictionary defines it as "sound practical sense; normal intelligence", yet what is "normal" intelligence anyway? Again, we are confronted with vague expressions which, in essence, reflect our grandiose ignorance. This is certainly a consequence of the physical dynamic ...
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... gauges, control lighting, program an entertainment system or home theater, and carry out other related tasks [1]. The current research projects focus more on the creation of intelligent home, a home that is able to control and make decision on its own, which follow the guidelines set by occupants di ...
inaugural symposium - Institute for Visual Intelligence
inaugural symposium - Institute for Visual Intelligence

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Artificial Understanding: Do you mean it?

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Expert Systems
Expert Systems

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File - Computers in Manufacturing Enterprise (MEL 423)

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... Automated planning is the problem of finding a sequence of state transitions (plan) that transforms the initial state of a transition system into a desired goal state or proving that no such plan exists. It is a fundamental problem in artificial intelligence, where it is studied by the planning and ...
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Artificial Intelligence 4. Knowledge Representation

... Relationships between this and other frames Procedures to carry out after various slots filled Default information to use where input is missing Blank slots: left blank unless required for a task Other frames, which gives a hierarchy ...
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The 11th International Conference on Artificial Intelligence
The 11th International Conference on Artificial Intelligence

... The International Federation for Information Processing (IFIP) was founded in 1960 under the auspices of UNESCO, following the first historical World Computer Congress held in Paris in 1959. The 1st AIAI conference (Artificial Intelligence Applications and Innovations) was o ...
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Bio-inspired

... acting in the face of uncertain and unpredictable environments. It was reasoned that if a single robot required complex systems and techniques in order to perform in a reliable manner, then perhaps intelligent systems could be designed with many “simpler” robots using a minimalist approach to sensin ...
Artificial Intelligence, Lecture 1.2, Page 1
Artificial Intelligence, Lecture 1.2, Page 1

... Decision-theoretic Planning flat or hierarchical explicit states or features or objects and relations static or finite stage or indefinite stage or infinite stage fully observable or partially observable deterministic or stochastic actions goals or complex preferences single agent or multiple agent ...
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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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