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Robots and DSP methods: History and perspectives
Robots and DSP methods: History and perspectives

... Capek who died in the Bergen-Belsen concentration camp The word first appeared in the play R.U.R. published in 1920 by his brother writer Karel Capek. This fantastically-visionary work takes place on an island somewhere in the middle of the ocean. On island is the central factory of Rossum’s univers ...
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... the personnel and the programme-specific facilities enable the students to realise the intended learning outcomes. It noted that all intended learning outcomes are cross-matched to the different components of the programme in the self-evaluation report. It is of the opinion that the learning goals a ...
Slide 1
Slide 1

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Mind Design II : Philosophy, Psychology, Artificial Intelligence
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... Rationality here means: acting so as best to satisfy your goals overall, given what you know and can tell about your situation. Subject to this constraint, we can surmise what a system wants and believes by watching what it does—but, of course, not in isolation. From all you can tell in isolation, a ...
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Slide 1 - Cal State LA - Cal State LA
Slide 1 - Cal State LA - Cal State LA

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Mind Design II : Philosophy, Psychology, Artificial Intelligence
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... particularly that its symbols do not refer or represent, that they are not “grounded”, as one now says (see Harnad 1990; Preston and Bishop 2002; Searle 1980). This lack of ‘mental representation’ is considered fatal for the creation of an intelligent agent – on the standard assumption that percepti ...
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call for papers as DOC

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Artificial Intelligence Question Bank 2014
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... and defeasible rules, since people reason non-monotonically about many matters. For this, we make use of several techniques. Firstly, to address the communication issue (between humans and machines), we employ a controlled natural language as specification language for the input of the model as well ...
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... simply a set of rules specifying how to change one string of symbols into another string of symbols. • these rules are also known as rewrite rules • simple syntactic string manipulation • no understanding or interpretation is required\also used to define grammars of languages – e.g BNF grammars of p ...
RMASBench: a Benchmarking System for Multi
RMASBench: a Benchmarking System for Multi

... evaluated on synthetic benchmarking scenarios (e.g., graph colouring). We believe that in this sense RMASBench is an ideal testing ground to compare such techniques considering various performance metrics (e.g., solution quality, communication and computation overhead) and different operative condit ...
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Verifying time, memory and communication bounds in systems of

Expert Systems in Law and the Representation of Legal Knowledge
Expert Systems in Law and the Representation of Legal Knowledge

... language is needed. The inference engine is forward-chaining and enables actions other then inferences, such as calculus or database interactions. The search tree is swept breadth first, which means that all the solutions are found. It is a monotonous inference engine: the inferences cannot be extra ...
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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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