Will Bridewell

Science informatics, ecoinformatics, artificial intelligence, scientific discovery, transfer learning, inductive process modeling, causal-temporal data mining, anomaly-driven theory revision

Computational Induction of Scientific Process Models
(Project Software)

Bridewell, W., Borrett, S.R., & Langley, P. (2009). Supporting innovative construction of explanatory scientific models. In A.B. Markman & K.L. Wood (Eds.), Tools for Innovation. Oxford: Oxford University Press.

Bridewell, W. & Langley, P. (2009) Two kinds of knowledge in scient ific discovery. Topics in Cognitive Science, 1, early access.
View at Wiley InterScience

Bridewell, W., Langley, P., Todorovski, L., & Džeroski, S. (2008). Inductive process modeling. Machine Learning, 71, 1–32.
Download the PDF.
View at SpringerLink

Bridewell, W., & Todorovski, L. (2007). Learning declarative bias. Proceedings of the Seventeenth International Conference on Inductive Logic Programming, 63–77.
Download a draft PDF

The Second International Workshop on the Induction of Process Models
September 15th at Antwerp, Belgium (ECML 2008)

The Symposium on Computational Approaches to Creativity in Science
March 29th and 30th at Stanford University (2008)

The First International Workshop on the Induction of Process Models
June 24th at Oregon State University (ICML 2007)

Desperation is the raw material of drastic change.
Only those who can leave behind everything
they have ever believed in can hope to escape.

-- William Burroughs, The Western Lands