Artificial Intelligence Research Seminar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University

Artificial Intelligence Research Seminar Com S 610 (VH) Fall 2001 will meet once a week on Mondays from 2pm to 4pm in room 217, Atanasoff. AI seminar will be coordinated by Vasant Honavar with help from Jun Zhang. The emphasis of the seminar during fall 2001 will be on: Automated Learning and Knowledge Acquisition in Open-Ended Environments with special emphasis on:

• Automating Scientific Discovery
• Distributed Learning
• Incremental Learning
• Learning from Knowledge and Data
• Models of Uncertainty
• Causal Discovery
• Computational Biology Applications of Automated Learning

September 10, 2001

Introductions and reports from each research group.

SEMINAR READINGS

Automating Scientific Discovery

1. Thrun, S., Faloutsos, C., Mitchell, T. and Wasserman, L. (1998). Automated Learning and Discovery: State-of-the-art Research Topics in a Rapidly Growing Field. Tech. Rep. CMU-CALD-98-100. Carnegie Mellon University.
2. Valdez-Perez, R.E. (1999). Discovery Tools for Science Applications CACM.
3. Valdez-Perez, R.E. (1999). Principles of Human-Computer Collaboration for Knowledge Discovery in Science Artificial Intelligence 107:335-346.
4. Valdez-Perez, R.E. (1996). Computer Science Research on Scientific Discovery Knowledge Engineering Review 11: 51-66.
5. Langley, P. (1998). The Computer-Aided Discovery of Scientific Knowledge In: Proceedings of the First International Conference on Discovery Science. Springer-Verlag.
6. Langley, P. (1998). The Computational Support of Scientific Discovery International Journal of Human-Computer Interaction.
7. Cheng, Jingde (2000) A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery In: Proceedings of the Asia-Pacific Conference on Knowledge Discovery and Data Mining.
8. Darden, L. (1997). Recent Work in Computational Scientific Discovery. In: Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum. pp. 161-166.
9. de Jong, H. and Rip, A. (1997). The Computer Revolution in Science: Steps Towards the Realization of Computer-Supported Discovery Environments Artificial Intelligence 91(2).
10. Weeber, M. et. al. (2000). Text-Based Discovery in Biomedicine: The architecture of the DAD System In: American Medical Informatics Association Symposium.
11. Swanson, D.R., and Smalheiser, N.R. (1997). An Interactive System for Finding Complementary Literatures: A Stimulus to Scientific Discovery. Artificial Intelligence 91(2).
12. Alberdi, E., and Sleeman, D. (1997). ReTAX: A step in the automation of taxonomic revision. Artificial Intelligence 91(2).
13. de Ledesma et al. (1997). A Computational Approach to George Boole's Discovery of Mathematical Logic Artificial Intelligence 91(2).

For additions and updates to this page, please contact: jzhang@cs.iastate.edu.

Artificial Intelligence Research Laboratory
Department of Computer Science
Iowa State University
Atanasoff Hall, Ames, IA 50011-1040 USA
phone: +1-515-294-4377, fax: +1-515-294-0258