Peter Whigham

Dept of Information Science, University of Otago

Many disciplines are interested in forming mathematical expressions
to

represent relationships in observed data. Standard statistical
techniques

offer approaches to developing equations, however they are often limited
in

their form of expression and the types of mathematical functions that
can be

used.

This seminar will describe an evolutionary search approach to discovering
equations

that can generalise a set of observed data. The talk will focus on
multivariate time

series problems from the domain of freshwater ecology. Searching for
several different

equation forms, including difference equations and the use of past
variables, will be

described. An example of searching within the constraints of
a process-based model

will also be given. An introduction to formal language theory
and genetic programming

will be presented as background to this talk.