Scientific Discovery, Process Models, and the Social Sciences

Author:

Langley Pat,Arvay Adam

Publisher

Springer International Publishing

Reference51 articles.

1. Asgharbeygi, N., Bay, S., Langley, P., & Arrigo, K. (2006). Inductive revision of quantitative process models. Ecological Modelling, 194, 70–79.

2. Arvay, A., & Langley, P. (2016). Selective induction of rate-based process models. In Proceedings of the Fourth Annual Conference on Cognitive Systems. Evanston, IL.

3. Bradley, E., Easley, M., & Stolle, R. (2001). Reasoning about nonlinear system identification. Artificial Intelligence, 133, 139–188.

4. In Proceedings of the Twenty-Second International Conference on Machine Learning (pp. 81–88);W Bridewell,2005

5. Bridewell, W., Langley P., Racunas, S., & Borrett, S. R. (2006). Learning process models with missing data. In Proceedings of the Seventeenth European Conference on Machine Learning (pp. 557–565). Berlin: Springer.

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