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Entity Knowledge Model Supporting Intelligent Systems



Hui-Min Huang, James S. Albus, Elena R. Messina, Harry A. Scott, Maris Juberts


Intelligent systems operate in uncertain and complex environments. In order to achieve their goals, these systems require rich and updated knowledge about the environment and about their own capabilities to enable proper decision making processes. A critical subset of the required knowledge is entity, which models the physical environment. This paper provides a generic and systematic model for the entities.
Proceedings Title
Conference Dates
April 18-21, 2005
Conference Location
Waltham, MA
Conference Title
International Conference on Integration of Knowledge Intensive Multi-Agent Systems KIMAS 05: Modeling, EVOLUTION and Engineering


architecture, entity, intelligent system, knowledge base, Knowledge Engineering, modeling, object, Software Engineering


Huang, H. , Albus, J. , Messina, E. , Scott, H. and Juberts, M. (2006), Entity Knowledge Model Supporting Intelligent Systems, KIMAS, Waltham, MA, [online], (Accessed June 18, 2024)


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Created June 20, 2006, Updated February 19, 2017