[Solomonov Seminar] 128. Solomonov seminar

[Marko Grobelnik]

Vabim vas na 128. Solomonov seminar, ki bo !!!IZJEMOMA!!! v cetrtek, 
02. oktobra 2003 ob 11:00 uri v Sejni sobi E8 na IJS.
Posnetki in materiali preteklih seminarjev so dostopni
na http://solomon.ijs.si/

Tokrat bo gost Pat Langley iz Stanforda predstavil tematiko
avtomatskega modeliranja dinamicnih sistemov.

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Pat Langley
http://cll.stanford.edu/~langley/

Challenges in the Computational Discovery of Explanatory Scientific Models

The growing amount of scientific data has led to the increased use
of computational discovery methods to understand and interpret them.
However, most work has relied on knowledge-lean techniques like
clustering and classification learning, which produce descriptive
rather than explanatory models, and it has utilized formalisms
developed in AI or statistics, so that results seldom make contact
with current theories or scientific notations. In this talk, I present
a new approach to computational discovery that encodes explanatory
scientific models as sets of quantitative processes, simulates these
models' behavior over time, incorporates background knowledge to
constrain model construction, and induces these models from time-series
data in a robust manner. I illustrate this framework on data and models
from Earth science and microbiology, two domains in which explanatory
process accounts occur frequently. In closing, I describe our progress
toward an interactive software environment for the construction,
evaluation, and revision of such explanatory scientific models.


This talk describes joint work with Kevin Arrigo, Stephen Bay, Lonnie
Chrisman, Dileep George, Andrew Pohorille, Javier Sanchez, Dan Shapiro,
and Jeff Shrager.