Heterogeneous hierarchical models

Victor Todd Miller; Paul A. Fishwick

doi:10.1117/12.56900

1 March 1992 Heterogeneous hierarchical models

Victor Todd Miller, Paul A. Fishwick

Proceedings Volume 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems; (1992) https://doi.org/10.1117/12.56900
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Victor Todd Miller and Paul A. Fishwick "Heterogeneous hierarchical models", Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); https://doi.org/10.1117/12.56900

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