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个人简介
Dr. Fox’s early research pioneered the application of Organization Theory to the design of distributed systems, contributing to the formation of multi-agent systems and Coordination Theory. His scheduling research resulted in the creation of the field of Constraint-Directed Scheduling within Artificial Intelligence, and several commercially successful scheduling systems and companies. He also pioneered the application of Artificial Intelligence to project management, simulation, and engineering design. He was the designer of one of the first commercial industrial applications of expert systems: PDS/GENAID, a steam turbine and generator diagnostic system for Westinghouse, which was a recipient of the IR100 in 1985 and is still in commercial use today at Siemens, monitoring over 1000 turbines and generators worldwide. He was the co-creator of the Knowledge Representation SRL from which Knowledge Craft™, a commercial knowledge engineering tool, was derived, and KBS, from which several commercial knowledge-based simulation tools, including Simulation Craft™, were derived. He co-developed the primary methodology used globally for designing ontologies based on Competency Questions. He led the well-known TOVE project that developed ontologies for modelling the structure, resources and behaviour of enterprises. His current research focuses on the ontologies and common-sense reasoning, and their application to Smart Cities. He has developed ontologies for the representation of city information and knowledge that are being adopted by cities around the world.
研究兴趣
论文共 298 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2023): 89-92
Noga Keidar,Mark Fox, Odeya Friedman,Yair Grinberger, Tharaa Kirresh, Yang Li, Yaara Rosner Manor,Diego Rotman,Emily Silverman,Shauna Brail
PLANNING THEORY & PRACTICE (2023)
Joint Ontology Workshops (2023)
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2023 International Conference on Applied Physics and Computing (ICAPC)pp.86-93, (2023)
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Managementpp.96-107, (2023)
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URBAN SCIENCEno. 4 (2022): 87-87
URBAN SCIENCEno. 4 (2022): 86
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