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Proceedings Paper

Heterogeneous hierarchical models
Author(s): Victor Todd Miller; Paul A. Fishwick
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Paper Abstract

Complex systems are not amenable to the use of a single model or level of abstraction in describing their dynamic system characteristics. It is often necessary to tie several models together if we want to reason, simulate, or analyze the system. Moreover, the use of a hierarchical representation helps us to more intelligently organize the models. We discuss a modeling process called heterogeneous hierarchical modeling (HHM) which supports multiple representations and supports hierarchical development of time dependent knowledge. Additionally, a hierarchical heterogeneous model provides a natural structure for knowledge- based reasoning. A knowledge-based environment requires such models in order to suggest improvements, guide semantic development, or analyze autonomous decision making models.

Paper Details

Date Published: 1 March 1992
PDF: 11 pages
Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56900
Show Author Affiliations
Victor Todd Miller, Univ. of Florida (United States)
Paul A. Fishwick, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 1707:
Applications of Artificial Intelligence X: Knowledge-Based Systems
Gautam Biswas, Editor(s)

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