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Chapter 10 Answers to Before You Go On Questions Identify and
Chapter 10 Answers to Before You Go On Questions Identify and

... Curve are as follows: (1) Conventional IQ tests measure intelligence accurately. (2) IQ is an important predictor of many measures of success in life, including success at school, work, parenting, and income. (3) Given such correlations, people who are high in intelligence form a cognitive elite. (4 ...
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... each volunteer a pen. Explain that to see how intelligent the paper is you will need to play a game of Noughts and Crosses. It will not be a battle between two humans but between paperkind and humankind. The paper is ‘peripherally challenged’ – you didn’t bring it a robotic arm or camera system (com ...
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... knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence Education system will be revolutionized with the introduction of expert systems in this field because of the following: (1) educational planning and decision making abil ...
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... performance and talent acquisition strategies to account for a newfound emphasis on work that hinges on human judgment and skills, including experimentation and collaboration. Our survey on the impact of AI on management, coupled with executive interviews, reveals the following: AI will put an end t ...
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... The action classification will lean on a probability-based model. Having a probabilistic model allows us to classify actions in a compact and efficient representation extracting the principal action constraints. This peculiarity is fundamental in working with actions involving a large number of degr ...
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... A physical symbol system has the necessary and sufficient means for intelligent action. This hypothesis means that we can hope to implement this in the computer. • Note : Use of term “intelligent action” not “intelligence”. Compare with Searle “Chinese Room”. Copyright, 2003 All rights reserved ...
2016 ideafactory
2016 ideafactory

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Expert Systems and Artificial Intelligence

... Expert System Shells: generic systems that contain reasoning mechanisms but not the problem-specific knowledge Early shells were cumbersome but still allowed the user to avoid having to completely program the system from scratch Modern shells contain two primary modules: a rule set builder and an in ...
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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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