New Computing Techniques In Physics Research Ii Proceedings Of The Second International Workshop On Software Engineering Artificial Intelligence And Expert Systems In High Energy And Nuclear Physics


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New Computing Techniques In Physics Research Ii - Proceedings Of The Second International Workshop On Software Engineering Artificial Intelligence And Expert Systems In High Energy And Nuclear Physics


New Computing Techniques In Physics Research Ii - Proceedings Of The Second International Workshop On Software Engineering Artificial Intelligence And Expert Systems In High Energy And Nuclear Physics

Author: Denis Perret-gallix

language: en

Publisher: World Scientific

Release Date: 1992-09-04


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A vivid example of the growing need for frontier physics experiments to make use of frontier technology is in the field of Artificial Intelligence (AI) and related themes.By AI we are referring here to the use of computers to deal with complex objects in an environment based on specific rules (Symbolic Manipulation), to assist groups of developers in the design, coding and maintenance of large packages (Software Engineering), to mimic human reasoning and strategy with knowledge bases to make a diagnosis of equipment (Expert Systems) or to implement a model of the brain to solve pattern recognition problems (Neural Networks). These techniques, developed some time ago by AI researchers, are confronted by down-to-earth problems arising in high-energy and nuclear physics. However, similar situations exist in other 'big sciences' such as space research or plasma physics, and common solutions can be applied.The magnitude and complexity of the experiments on the horizon for the end of the century clearly call for the application of AI techniques. Solutions are sought through international collaboration between research and industry.

New Computing Techniques In Physics Research Iii - Proceedings Of The 3rd International Workshop On Software Engineering, Ai And Expert Systems For High Energy And Nuclear Physics


New Computing Techniques In Physics Research Iii - Proceedings Of The 3rd International Workshop On Software Engineering, Ai And Expert Systems For High Energy And Nuclear Physics

Author: K H Becks

language: en

Publisher: World Scientific

Release Date: 1994-02-04


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No basic or applied physics research can be done nowadays without the support of computing systems, ranging from cheap personal computers to large multi-user mainframes. Some research fields like high energy physics would not exist if computers had not been invented. Departing from the more conventional numerical applications, this series of workshops has been initiated to focus on Artificial Intelligence (AI) related developments, such as symbolic manipulation for lengthy and involved algebraic computations, software engineering to assist groups of developers in the design, coding and maintenance of large packages, expert systems to mimic human reasoning and strategy in the diagnosis of equipment or neural networks to implement a model of the brain to solve pattern recognition problems. These techniques, developed some time ago by AI researchers, are confronted by down-to-earth problems arising in high-energy and nuclear physics. All this and more are covered in these proceedings.

Unconventional Models of Computation, UMC’2K


Unconventional Models of Computation, UMC’2K

Author: I. Antoniou

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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This book contains papers presented at the 2nd International Conference on Unconventional Models of Computation (UMCK'2K), which was held at Solvay Institutes, Brussels, Belgium, in December 2000. Computers as we know them may be getting better and cheaper, and doing more for us, but they are still unable to cope with many tasks of practical interest. Nature, though, has been 'computing' with molecules and cells for billions of years, and these natural processes form the main motivation for the construction of radically new models of computation, the core theme of the papers in this volume. Unconventional Models of Computation, UMCK'2K covers all major areas of unconventional computation, including quantum computing, DNA-based computation, membrane computing and evolutionary algorithms.