AN ARCHITECTURE OF A KNOWLEDGE-BASED SIMULATION ENGINE Conference Paper uri icon

abstract

  • This paper describes the architecture of a Knowledge-Based Simulation Engine (KBSE). It summarizes ongoing efforts at Knowledge Based Systems Laboratory, Texas A&M University and Knowledge Based Systems Inc., College Station, TX, in developing knowledge based simulation. The KBSE provides support for: 1) developing a simulation model from a description of the system and the user concern in the form of a question to be answered, and 2) 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. This paper presents a summary of the Artificial Intelligence (AI)-based algorithms and heuristics developed in Phase I.

name of conference

  • Proceedings of Winter Simulation Conference

published proceedings

  • 1994 WINTER SIMULATION CONFERENCE PROCEEDINGS

author list (cited authors)

  • ERRAGUNTLA, M., BENJAMIN, P. C., & MAYER, R. J.

citation count

  • 6

complete list of authors

  • ERRAGUNTLA, M||BENJAMIN, PC||MAYER, RJ

publication date

  • January 1994