Seminar on Computational Learning and
Adaptation
Epsilon Machines: Measuring Information Processing in Natural Systems
Karl Young
Stanford Linear Accelerator
Stanford University
kyoung@slac.stanford.edu
This talk will focus on an attempt to define an intrinsic measure of
information processing in physical systems (also known as complexity
in some circles) and discuss ways of measuring it. Following some brief
speculation about the types of system to which this might be fruitfully
applied, an example will be presented. This example draws on methods
from computation theory and grammar induction to classify simulated
data from a simple nonlinear system.
Date: Thurs., Apr 12
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Time: 4:15-5:30PM
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Place: Cordura 100
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