An architecture of a knowledge-based simulation engine
Madhav Erraguntla, Perakath C. Benjamin, Richard J. Mayer · NCSU Libraries Repository (North Carolina State University Libraries) · 1994
The paper describes the architecture of a knowledge-based simulation engine (KBSE). It summarizes ongoing efforts at Knowledge Based Systems Laboratory, Texas AM and analyzing the simulation output. The support for output analysis includes assistance for statistical analysis, explaining a set of observations, and generating alternative ways to improve performance/solve a problem. The approach used to develop KBSE was to integrate simulation expert knowledge with domain knowledge, commonsense reasoning techniques, and qualitative and quantitative simulation techniques. The Phase I KBSE automates the generation of simulation models from system descriptions. Phase II provides intelligent support for simulation output analysis. The paper presents a summary of the artificial intelligence (AI) based algorithms and heuristics developed in Phase I.