Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Kalman Filtering and Neural Networks
Kalman Filtering and Neural Networks
Global solutions for nonlinear systems using qualitative reasoning
Annals of Mathematics and Artificial Intelligence
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Declarative Bias in Equation Discovery
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
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This paper proposes a novel approach to discover simultaneous time differential law equations having high plausibility to represent first principles underlying objective processes. The approach has the power to identify law equations containing hidden state variables and/or representing chaotic dynamics without using any detailed domain knowledge.