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Towards Chemical Universal Turing Machines

Stephen Muggleton

Conference or Workshop Paper
21st National Conference on Artificial Intelligence
June, 2005
Abstract

Present developments in the natural sciences are providing

enormous and challenging opportunities for various

AI technologies to have an unprecedented impact

in the broader scientic world. If taken up, such applications

would not only stretch present AI technology

to the limit, but if successful could also have a radical

impact on the way natural science is conducted. We review

our experience with the Robot Scientist and other

Machine Learning applications as examples of such AIinspired

developments. We also consider potential future

extensions of such work based on the use of Uncertainty

Logics. As a generalisation of the robot scientist

we introduce the notion of a Chemical Universal Turing

machine. Such a machine would not only be capable of

complex cell simulations, but could also be the basis for

programmable chemical and biological experimentation

robots.

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