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Слайд 1 - Polymer
Слайд 1 - Polymer

... The most powerful experimental supercomputers in 1998 composed of thousands or tents of thousands of the fastest microprocessors and costing tens of millions of dollars can do a few million MIPS. They are within striking distance of being powerful enough to match human brainpower, but are unlikel ...
Great Challenge in Building Intelligent Systems – Quo Vadis
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... simple WEB camera. We will set up a server and put public a client downloadable from world/wide and we will ask people show to a client any playing card in front of the WEB camera. The system will be a pilot system for creating a speed up learning using many agents worldwide. We do hope that we will ...
2nd International Conference on Hybrid Intelligent Systems
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What is AI? - UB Computer Science and Engineering
What is AI? - UB Computer Science and Engineering

... Expert Systems  Software that attempts to duplicate the ways in which professionals make decisions are called expert systems.  An expert is a specialist in a specific, often narrow field who has gained an incredible amount of knowledge about this narrow field ...
Basic Marketing, 16e - University of Hawaii at Hilo
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report on - WordPress.com
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Selfishness, Interdependence and the Algorithmic Execution of
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ACTIVITY DUE March 26th
ACTIVITY DUE March 26th

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Major AI Research Areas - Cognitive Computing Research Group
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2014 IEEE International Conference on Systems, Man
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... form of inference. A focus on problems that do not respond to algorithmic solutions. This underlies the reliance on heuristic search as an AI problem-solving technique. A concern with problem solving using inexact, missing, or poorly defined information and the use of representational formalisms tha ...
Refinement Planning: Status and Prospectus
Refinement Planning: Status and Prospectus

... form of inference. A focus on problems that do not respond to algorithmic solutions. This underlies the reliance on heuristic search as an AI problem-solving technique. A concern with problem solving using inexact, missing, or poorly defined information and the use of representational formalisms tha ...
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Expert system



In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert.Expert systems are designed to solve complex problems by reasoning about knowledge, represented primarily as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of AI software.An expert system is divided into two sub-systems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.
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