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querying description logic knowledge bases
querying description logic knowledge bases

... are instances of these concepts, and roles (also known as properties) that are interpreted as pairs of individuals that are related by the role. Operators, such as negation (¬) or conjunction (u), can be used in order to build more complicated composite concepts. As an example, consider the followin ...
Dowe2010_MML_Handboo.. - Clayton School
Dowe2010_MML_Handboo.. - Clayton School

... hypothesis H, this is equivalent to choosing H to maximise P r(H) . P r(D|H). By the monotonicity of the logarithm function, this is in turn equivalent to choosing H so as to minimise − log P r(H) − log P r(D|H). From Shannon’s information theory (see sec. 2.1), this is the amount of information req ...
Thinking Inside the Box: Controlling and Using an
Thinking Inside the Box: Controlling and Using an

A. Breadth-First Search - NIA :: ECSU
A. Breadth-First Search - NIA :: ECSU

... Artificial Intelligence was founded after World War II, after several individuals began to work on intelligent machines. It is cited that the English mathematician, Alan Turing, was the first to work with Artificial Intelligence. In 1950, he wrote an article titled “Computing Machinery and Intellige ...
Osmand Christian - XY Home
Osmand Christian - XY Home

... different platforms. As a result, they provide different interfaces which lead to heterogeneity. As per [79], software is very diverse. Even though programs provide users with significant value, interoperability is a major problem along with heterogeneity causing problems in interoperation. Agents s ...
Toward a truly personal computer
Toward a truly personal computer

... The files on this disk or server have been provided by ACM. Copyright and all rights therein are maintained by ACM. It is understood that all persons copying this information will adhere to the terms and constraints invoked by ACM’s copyright. These works may not be reposted without the explicit per ...
CURRICULUM VITAE - University of Memphis
CURRICULUM VITAE - University of Memphis

... http://www.memphis.edu/psychology/people/faculty/graesser.php, ...
curriculum vitae - University of Memphis
curriculum vitae - University of Memphis

rtf - MIT Media Lab
rtf - MIT Media Lab

... {\pard \ql \f0 \sa180 \li360 \fi-360 \bullet \tx360\tab {\b Constraining inference} . Inference is a combination of the reader\u8217's background knowledge and the knowledge that is explicitly in the text. To keep both reader and author \u8220"on the same page\u8221", inferences should be relevant ...
Argumentation and Dialogue in Artificial Intelligence
Argumentation and Dialogue in Artificial Intelligence

... every y ∈ X if y defeats x then there is some z ∈ S such that z defeats y. A conflict-free set, S, is admissible if every x ∈ S is acceptable to S. Finally, S, is a preferred extension if it is a maximal (with respect to set containment) admissible set. Any preference relation P ref induces a standa ...
Bibliography on Knowledge Management
Bibliography on Knowledge Management

... Huang, K-T. (1997); Capitalizing collective knowledge for winning execution and teamwork, Journal of Knowledge Management, Vol. 1, No. 2, 1997, p149-156. Huang, K-T. (1998); Capitalizing on intellectual assets, IBM Systems Journal, Vol. 37, No. 4, 1998, p570-83. Husema, R.C. and Goodman, J.P. (1998) ...
PhD Thesis
PhD Thesis

... Embodied pedagogical agents – visually represented, computer generated characters in pedagogical roles, such as virtual instructors, mentors and learning companions – populate the digital society in increasing numbers. They are found in educational programmes from preschool to university, as well as ...
An Emotion Theory Approach to Artificial Emotion Systems for
An Emotion Theory Approach to Artificial Emotion Systems for

The Promise of Artificial Intelligence - IEEE
The Promise of Artificial Intelligence - IEEE

... Deep-learning techniques allow a computer system to connect the dots from many different areas of knowledge, similar to how the human brain works, to make the best decision possible. Facebook, Google, Microsoft, ...
SETI Aff UM 7wk - Open Evidence Archive
SETI Aff UM 7wk - Open Evidence Archive

... 670,000. Drake himself estimates a more conservative 10,000. But even if that lower value turns out to be correct, at the rate they're going, it wouldn't take scientists too long to discover an alien signal, Shostak said. "This range, from Sagan's million down to 10,000 that's the range of estimates ...
Intelligence by Design - Department of Computer Science
Intelligence by Design - Department of Computer Science

... the extent to which this dissertation is just an expansion on it, despite the conspicuous differences. I’ve never met him, but Toby Tyrrell did an amazing piece of work for his PhD, and I’m deeply indebted to him not only for his research, but for making his code publicly available through internet ...
Intelligence by Design: Principles of Modularity and Coordination for
Intelligence by Design: Principles of Modularity and Coordination for

... project that I started thinking about specialized learning. I reread that paper a month ago, and I’m amazed the extent to which this dissertation is just an expansion of it, despite the conspicuous differences. I’ve never met him, but Toby Tyrrell did an amazing piece of work for his PhD. I have a d ...
Biologically Inspired Modular Neural Networks
Biologically Inspired Modular Neural Networks

... Introduction Artificial intelligence is the study of intelligent behavior and how computer programs can be made to exhibit such behavior. There are two categories of artificial intelligence from the computational point of view. One is based on symbolism, and the other is based on connectionism. In t ...
Wikibook (pages 1-223)
Wikibook (pages 1-223)

... In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses some mechanisms inspired by biological evolution: reproduction, mutation, recombination, and selection. Candidate solutions ...
On a razor`s edge: evaluating arguments from expert opinion
On a razor`s edge: evaluating arguments from expert opinion

... knowledge that the person who is claimed to be an expert has in that subject. But a dubious aspect of it from an argumentation point of view is that it differentiates between experts and nonexperts on the basis of the number of propositions known by the person who is claimed to be an expert, resting ...
Computer Science (MS)
Computer Science (MS)

... server and client side technologies. The course is targeted at students who are interested in the development of application programs using a database system such as Oracle, or Microsoft SQL. Prerequisite: CSCI 6302 or equivalent. CSCI 6316: Design for Information Technology Systems ...
You can this announcement in pdf format.
You can this announcement in pdf format.

... a result, AI technologies are often in the news and a number of organizations (including the U.S.  government) are trying to ensure that AI technologies are being used for the maximum benefit of  society. As with all potentially transformative technologies (such as the automobile and the  transistor ...
Man, machine, and strategy
Man, machine, and strategy

... challenges such as predicting credit or insurance risk, for instance – is valuable drudgery, not revolution. Products that are marketed as being able to cope with ‘raw data’ turn out to have their own definitions of ‘raw’. We have tried several of the more visibly marketed analytic tools currently o ...
The Hanson-Yudkowsky AI-Foom Debate
The Hanson-Yudkowsky AI-Foom Debate

... push a set of tools through a mutual-improvement process; their team would improve those tools, and then use those improved versions to improve them further, and so on through a rapid burst until they were in a position to basically “take over the world.” I asked what it would take to convince you t ...
PDF of this page
PDF of this page

... process by which game concepts are transformed into actual computer games, including the use of scripting languages to incorporate sound and graphics into a game, design documents, project management, evaluation, game play parameters and artificial intelligence. Several examples will be used to demo ...
1 2 3 4 5 ... 241 >

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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