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steps toward building a good ai for complex wargame
steps toward building a good ai for complex wargame

... much more realistic simulation, has as a result that this is not the case. Therefore, we defined statically that there is a heuristic stealth cost associated with each location which is proportional to the number of other locations from which it can be seen (these are susceptible to be occupied by e ...
A Survey of Artificial Intelligence in Software Engineering
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... A basic problem of software engineering is the long delay between the requirements specification and the delivery of a product. This long development cycle causes requirements to change before product arrival. There is the problem of phase independence of requirements, design and codes in software d ...
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... The early systems by Hiller-Isaacson and Moorer were both based also on heuristic approaches. However, possibly the most genuine example of early use of AI techniques is the work of Rader (1974). Rader used rule-based AI programming in his musical round (a circle canon such as Frère Jacques) generat ...
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... intellectual masturbatory activities. Despite of its humanist objectives, a society like Mensa (http://www.mensa.com), the high IQ society (over 100,000 members around the globe) founded in 1946 by the eccentric enthusiast qualified in Law Roland Berrill and the Scientist, barrister and polymath Dr ...
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full document - Intelligent Systems Laboratory

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α ∑ β Q α|β Q β ln (Q α|β / P α|β ) - Department of Computer Science
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... called KL divergence formula D = ∑α∑β Qα|β Qβ ln Qα|β / Pα|β >= ∑α∑β Qα|β Qβ ( 1 - Pα|β /Qα|β) >= ∑α∑β Qα|β Qβ - ∑α∑β Pα|β Qβ >= ∑α∑β Qαβ - ∑α∑β Pαβ {Qαβ and Pαβ are joint distributions} ...
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IJCAI_pres_v4 - Rensselaer Polytechnic Institute
IJCAI_pres_v4 - Rensselaer Polytechnic Institute

... because the machine would have to be specially prepared for any specific task that it was asked to perform. The task could not be described to the machine in a normal conversation (verbal or written) if the specific nature of the task was not already programmed into the machine. Such considerations ...
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... element) in accordance with the results from the performance analyzer ...
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... According to the U.S. Bureau of Labor Statistics, employment in all computerrelated fields is expected to grow faster than the average for all occupations until at least 2016, and that includes AI specialists. Between 2006 and 2016 the number of AI specialists is expected to grow by around 20 percen ...
A Case for Computer Brain Interfaces
A Case for Computer Brain Interfaces

... Succinctly, the design of every new generation of computers is aided by cutting-edge computers of the previous generations, which effectively compounds processing power upon itself. The human brain, to the contrary, is limited by biological factors. A recent study on human brain evolution by Michel ...
Model AI Assignments - Gettysburg College Computer Science
Model AI Assignments - Gettysburg College Computer Science

... This is a very challenging assignment with a strong programming component (in Java). Students should be encouraged to work in pairs on the programming questions. The assignment has never been offered exactly in this form, but from past experience with rather similar formats it should take students b ...
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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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