Name
Abstract | ||
|---|---|---|
Goal driven simulation (GDS) seeks to automate many of the output analysis and experimental design tasks of a simulation study. Theoretically, its use allows the reallocation of the simulation expert to other tasks. ODS capabilities include determining parameters to change, suggesting a rate of change, and testing these changes against a pre-established set of goals. Realizing GDS, however, requires the integration of techniques such as object oriented design, knowledge based systems, and neural nets. Before achieving this integration, there are still several issues to resolve including the type of interaction these techniques would have among themselves. This paper explores several of the issues concerning the realization of goal driven simulation systems, their impact on the simulation modeling methodology, how GDS works, and the need for its development. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1145/256562.256798 | Winter Simulation Conference |
Field | DocType | ISBN |
Object-oriented design,Object-oriented modeling,Systems engineering,Simulation,Computer science,Knowledge-based systems,Simulation modeling,Context model,Artificial neural network,Technical report | Conference | 0-7803-3383-7 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Louis A. Molina | 1 | 0 | 0.34 |
| Carlos Gandarillas | 2 | 0 | 0.34 |
| Martha A. Centeno | 3 | 111 | 16.76 |