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Can Artificial Intelligence Generate Meaningful Scientific Hypotheses?
清华工业生物催化论坛-活细胞化学反应的开发与应用
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报告题目:
AI and Optimization Methods in Sensor Network Management
 报告人:
Kendall E. Nygard
Professor in the Department of Computer Science and Operations Research at North Dakota State University
报告时间:
2007-06-05 10:00
报告地点:
清华大学FIT3-125
主办单位:
计算机科学与技术系
  简介:

Abstract:

 

We describe several coverage and scheduling problems that arise in the intelligent management of heterogeneous sensor networks. We also describe an application to management of a new lunar rover design that is embedded in a sensor network. Fuzzy reasoning, rough sets, and closed-form generalized network models are devised to manage the sensor networks.

 

 

Biographical information:

 

 

Dr. Kendall E. Nygard is a Professor in the Department of Computer Science and Operations Research at North Dakota State University.  From 1996 to 2005 he served as department chair.  He also served as the Director of the Scientific Computing center at the University of North Dakota.  He earned his Ph.D. degree in 1978 from Virginia Polytechnic Institute and State University.  He is serving as Advisory Editor of the Journal of Heuristics. He has been principal investigator for more than 30 federal, state, and private grants and contracts. He is widely published in aspect-oriented software, sensor networks, cooperative control, multi-agent systems, metaheuristics, network and combinatorial optimization, and sub-symbolic artificial intelligence.

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