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lecture1-457
lecture1-457

... 2. Everything that the agent has perceived so far. We will call this complete perceptual history, the {\bf percept sequence}. 3. What the agent knows about the environment. 4. The actions that the agent can perform Ideal Rational Agent: For each possible percept sequence,an ideal rational agent shou ...
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chapter1

... • A Rational Agent is one that does the right thing. A right action is the one that will cause agent to be most successful. • The problem becomes how and when to evaluate agent's success. • Performance measure of how – The criteria that determine how successful an agent is • When to evaluate – Measu ...
Project Specification LDR - IEI: Linköping University
Project Specification LDR - IEI: Linköping University

... These systems are therefore substantially different from traditional automated systems in that they foster the autonomy of their components, by a mix of distributed control and artificial intelligence, and promote a plug and produce environment. All these factors account for rich, yet complex, inter ...
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... Modeling how ideal agents “should act” – rational actions but not necessarily formal rational reasoning – i.e., more of a black-box/engineering approach ...
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... International Innovation In Artificial Intelligence Artificial Intelligence Applications Institute Four decades of worldworld-leading research and teaching in AI at Edinburgh Two decades of innovative applications of AI at AIAI Examples of key achievements include: ...
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... Computer network is important because there are computers linked in a school or business so users can share hardware, software, and data. Computer networks consists of computers linked so users can share hardware, software, and data. ...
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... Anther distinctive aspect of cognitive systems research concerns its reliance on structured representations. The insight behind the 1950s AI revolution was that computers are not mere number crunchers. Computers and humans are general symbol manipulators that: • Encode information as list structures ...
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... Group: J Group Leader: Denise McBroom Group Members: Mary Beth Corbin Scott Taves Saleha Banu ...
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... Anther distinctive aspect of cognitive systems research concerns its reliance on structured representations. The insight behind the 1950s AI revolution was that computers are not mere number crunchers. Computers and humans are general symbol manipulators that: ...
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Current and Future Trends in AI

... much more than previous generations – or at least has access to much more information and knowledge than any generation has in the past - but in a drastically shallower manner. And all this in real-time in real-world circumstances – the social impact of Google ‘search’ is huge and profound. Artifici ...
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Elements of Artificial Neural Networks

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Partisans and Critics of a New Science: The Case of Artificial

... research, the human tasks that should be entrusted to computers, and the information that artificial intelligence might give us about the nature of man. It is important that these debates not be carried out with arguments like "They laughed at Fulton" on the one hand and "AI is the new alchemy" on t ...
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Introduction to Artificial Intelligence

... “Artificial Intelligence is the enterprise of constructing a physical symbol system that can reliably pass the Turing test.” -- Matt Ginsberg. “Artificial Intelligence is the study of intelligence using the ideas and methods of computation.” – Brady, Bobrow & Davis (in foreword to “Building Problem ...
Perspec ves on Ar ficial Intelligence: Three Ways to be Smart
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Intelligent Behavior in Humans and Machines

... sort was acknowledged as interesting and had a strong impact on the field. Similarly, studies of human problem solving had a major influence on early AI research. Newell, Shaw, and Simon’s (1958) Logic Theorist, arguably the first implemented AI system, which introduced the key ideas of heuristic se ...
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Is the search for computer-based artificial intelligence an

... ending in which Andrew is classified as human and given the rights that all humans have; most importantly, the right to love. Present day society is a long way from accepting artificial beings as human. This paper will present research in the fields of Artificial Intelligence and sociology, as well ...
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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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