Seminar on Computational Learning and
Adaptation
Equation Discovery for Dynamic Systems Identification
Saso Dzeroski
Jozef Stefan Institute
Ljubljana, Slovenia
www-ai.ijs.si/SasoDzeroski/
Machine discovery is concerned with the task of finding laws from
experimental and/or observational data. Early machine discovery systems
reconstructed scientific laws, such as the ideal gas law, formulated
as algebraic equations. Such laws are typically found in high-school
physics textbooks. In Ljubljana, we have developed a number of systems
that discover differential equations describing the observed behavior(s)
of a dynamic system. We have thus moved the application domain of
machine discovery systems to university-level physics. This talk will
give a brief overview of these developments. A number of issues have
been addressed in the systems mentioned, such as handling noise and
using existing domain knowledge to constrain the space of possible
models. The search methods used include exhaustive search, greedy and
beam search, and even genetic programming. Several practical problems
have been addressed using the developed systems, including two
ecological modelling problems. A recent development extends our
approach to the discovery of partial differential equations, which
are especially appropriate for modelling biological systems.
Date: Thurs., Sept 28
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Time: 4:15-5:30PM
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Place: Cordura 100
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