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Common Sense - Myreaders.info
Common Sense - Myreaders.info

... attempt to implement McCarthy's idea, but faced difficulties because : ...
Curriculum vitae
Curriculum vitae

... The concept of Plan-based systems served as the framework for my own research on reasoning about actions which was described above. However, the IT4 grant for Plan-based systems also provided the initial resources for the development of two lines of research in Linkping: Patrick Doherty’s work that ...
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A Development Environment for Engineering Intelligent

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Artificial Intelligence in der Finanzindustrie
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Extended Modal Logics for Social Software (extended abstract of

... is interpreted directly by social welfare functions and thus that formulae can be read as properties of such functions; second, that preferences are represented in a more abstract way; and, third, that the expressive power is sufficient for interesting problems as discussed below. Motivations for mo ...
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記錄 編號 6668 狀態 NC094FJU00392004 助教 查核 索書 號 學校

... 建造代理人之心智狀態。 我們提出以強效式學習精煉最原始的目標(toplevel goals)。 並以機器人足球比賽用來說明我們的方法。 而且,我們顯 示如何精煉以強效式學習演化目標於足球員之心智狀態 This paper presents an adaptive approach to address the goal evolution of the ...
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記錄編號 6668 狀態 NC094FJU00392004 助教查核 索書號 學校名稱
記錄編號 6668 狀態 NC094FJU00392004 助教查核 索書號 學校名稱

... 式學習精煉最原始的目標(top-level goals)。 並以機器人足球比賽用來說明我們的 方法。 而且,我們顯示如何精煉以強效式學習演化目標於足球員之心智狀態 This paper presents an adaptive approach to address the goal evolution of the intelligent agent. When agents are initially created, they have some goals and few capabilities. Each capability composes by one or more act ...
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... It should not be thought that this unsatisfactory picture can simply be traced to the cognitive turn of the t960s. While it fits the view that a language is a quasicomputational system, its origins go back further. Indeed, as noted, it was the founder of structural linguistics who established both t ...
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Lecture 02 – Single Layer Neural Network

... However, we can also use one neuron to classify only one class. The neuron decides whether the input belongs to its class or not This configuration has the disadvantage that the network ...
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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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