BIO-Complexity, Vol 2010
A Vivisection of the ev Computer Organism: Identifying Sources of Active Information
George Montañez, Winston Ewert, William Dembski, Robert Marks
Abstract
ev is
an evolutionary search algorithm proposed to simulate biological
evolution. As such, researchers have claimed that it demonstrates that a
blind, unguided search is able to generate new information. However,
analysis shows that any non-trivial computer search needs to exploit
one or more sources of knowledge to make the search successful.
Search algorithms mine active information from these resources, with
some search algorithms performing better than others. We illustrate
these principles in the analysis of ev. The sources of knowledge in ev include a Hamming oracle and a perceptron structure that predisposes the search towards its target. The original ev uses these resources in an evolutionary algorithm. Although
the evolutionary algorithm finds the target, we demonstrate a simple
stochastic hill climbing algorithm uses the resources more efficiently.
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