ML Anthology

AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making

David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell
ICML 1991 pp. 645-649
doi:10.1016/B978-1-55860-200-7.50131-8 /icml/1991/tcheng1991icml-aims/

Abstract

Engineering decision making is a two-phase process involving model formation and model utilization. Simulation models have been useful for decision support but, can be too slow for interactive applications. An integrated methodology is presented for inducing faster simulation models and using these models to support interactive design. In AIMS, both model formation and model utilization are controlled by a multiple objective optimizer, ISO. This knowledge processing framework is applied to combustion engine design.

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Cite

Text

Tcheng et al. "AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50131-8

Markdown

[Tcheng et al. "AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/tcheng1991icml-aims/) doi:10.1016/B978-1-55860-200-7.50131-8

BibTeX

@inproceedings{tcheng1991icml-aims,
  title     = {{AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making}},
  author    = {Tcheng, David K. and Lambert, Bruce L. and Lu, Stephen C. Y. and Rendell, Larry A.},
  booktitle = {International Conference on Machine Learning},
  year      = {1991},
  pages     = {645-649},
  doi       = {10.1016/B978-1-55860-200-7.50131-8},
  url       = {https://mlanthology.org/icml/1991/tcheng1991icml-aims/}
}