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Object-based Intelligence in Office and Production Processes: A
Object-based Intelligence in Office and Production Processes: A

... invoked to find an explanation for the exception and the negotiator determines whether the explanation is valid or some information is missing. Each POLYMER activity description contains the following attributes: goal; preconditions; effects (side-effects or secondary effects); decomposition (of an ...
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... component. Whether one is stacking blocks, exploring dungeons, or building cities, games provide a variety of human-machine interactions in complex problem spaces. The challenges that emerge through these mechanics are how to foster human learning during the course of a game and leveraging this newl ...
Filename: sloman-clowestribute
Filename: sloman-clowestribute

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Title Embedding intelligent decision making within complex dynamic

... stream based computing with collaborative reasoning as realized through multi-agent system techniques. Often such a decision-making apparatus is embedded within the environment and hosted upon a distributed network of ambient devices. This approach is illustrated and exercised through an environment ...
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Basic Artificial Intelligence Research at the Georgia Institute of
Basic Artificial Intelligence Research at the Georgia Institute of

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essentials of expert system and its applications

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... and pathos [Ross 1931]. The three devices are indicated as invaluable techniques to convince one’s audience, one’s colleagues, one’s students, of the position and degree of veracity of your presentation. Ethos is the set of nuances that collectively convince the listener of one’s credibility – that ...
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Com3240 Adaptive Intelligence - Department of Computer Science

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... each other, they had a common enthusiasm for technical innovation and the capacity to foresee the potential of computers. Much of this activity was centered in the Silicon Valley in northern California where the first computer- related company had located in 1955. That company attracted thousands of ...
Zheng Chen - Washington University in St. Louis
Zheng Chen - Washington University in St. Louis

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T Preface

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Automatic design and Manufacture of Robotic Lifeforms
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... complex set of auto-catalyzing chemical reactions. Biological life is in control of its own means of reproduction, and this autonomy of design and manufacture is a key element which has not yet been understood or reproduced artificially. To this date, robots – a form of artificial life1– are still d ...
Expert Systems for Space Station Automation
Expert Systems for Space Station Automation

... serve different needs,and it is likely that any reasonably sophisticated system will haveto use both. In particular, Prolog is useful for representing knowledge that is naturally expressed as a set of facts and a set of rules, withtherulesserving to definehownew facts are to be deduced from what is ...
Uluslararası İnsan Bilimleri Dergisi
Uluslararası İnsan Bilimleri Dergisi

... Technology is a constantly developing and changing aspect of learning. Over the last 30 years of educational revolution, it may be observed that mobile operating systems help users to access information 24/7 through Intelligent Personal Assistants (IPAs) working within Artificial Intelligence (AI). ...
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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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