Towards simulation-based robust computational scientific discovery systems

Authors:
Levent Yilmaz;Tuncer Ören;C. Anthony Hunt
Affiliations:
Auburn University, Auburn, AL;University of Ottawa, Ottawa, ON, Canada;University of California, San Francisco, San Francisco, CA
Venue:
Proceedings of the 2011 Summer Computer Simulation Conference
Year:
2011

Citing 5
Cited 0

Exploratory modeling for policy analysis

Operations Research
Dealing with complexity: exploratory analysis enabled by multiresolultion, multiperspective modeling

Proceedings of the 32nd conference on Winter simulation
Input modeling: input model uncertainty: why do we care and what should we do about it?

Proceedings of the 35th conference on Winter simulation: driving innovation
Creativity support tools: accelerating discovery and innovation

Communications of the ACM
Rethinking M&S to enhance creativity and computational discovery

SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

The generative modeling and simulation approach advocated in this study aims to explore an agent-supported simulation strategy that builds on the creative cognition perspective. The strategy is inspired by socially-inspired form of systems engineering, where alternative models compete and learn from each other to evolve toward better performance in prediction and explanation. Robust Mechanism Discovery method is introduced, and a generic informal specification for its realization is delineated. A preliminary and abstract meta-simulation study is conducted to improve understanding of its dynamics as a creative evolutionary system.