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Entity Knowledge Model Supporting Intelligent Systems

Published

Author(s)

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

Abstract

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
KIMAS
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

Keywords

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

Citation

Huang, H. , Albus, J. , Messina, E. , Scott, H. and Juberts, M. (2006), Entity Knowledge Model Supporting Intelligent Systems, KIMAS, Waltham, MA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822677 (Accessed June 18, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 20, 2006, Updated February 19, 2017