Self-adaptive Scouting---Autonomous Experimentation for Systems Biology


Matsumaru, Naoki, Centler, Florian, Zauner, Klaus-Peter and Dittrich, Peter (2004) Self-adaptive Scouting---Autonomous Experimentation for Systems Biology. In, Raidl, G. R., Cagnoni, S., Branke, J., Corne, D., Drechsler, R., Jin, Y., Johnson, C. G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G. D. and Squillero, G. (eds.) Lecture Notes in Artificial Intelligence, Vol. 3005. 2nd European Workshop on Evolutionary Bioinformatics , Springer, Berlin, 52-62. (Lecture Notes in Computer Science).

Download

[img] PDF
Download (1057Kb)

Description/Abstract

We introduce a new algorithm for autonomous experimentation. This algorithm uses evolution to drive exploration during scientific discovery. Population size and mutation strength are self-adaptive. The only variables remaining to be set are the limits and maximum resolution of the parameters in the experiment. In practice, these are determined by instrumentation. Aside from conducting physical experiments, the algorithm is a valuable tool for investigating simulation models of biological systems. We illustrate the operation of the algorithm on a model of HIV-immune system interaction. Finally, the difference between scouting and optimization is discussed.

Item Type: Book Section
Related URLs:
Keywords: scientific discovery, evolutionary computing, active learning
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
Item ID: 258781
Date Deposited: 20 Feb 2004
Last Modified: 02 Mar 2012 12:19
Contributors: Matsumaru, Naoki (Author)
Centler, Florian (Author)
Zauner, Klaus-Peter (Author)
Dittrich, Peter (Author)
Raidl, G. R. (Editor)
Cagnoni, S. (Editor)
Branke, J. (Editor)
Corne, D. (Editor)
Drechsler, R. (Editor)
Jin, Y. (Editor)
Johnson, C. G. (Editor)
Machado, P. (Editor)
Marchiori, E. (Editor)
Rothlauf, F. (Editor)
Smith, G. D. (Editor)
Squillero, G. (Editor)
Date: 2004
Status: Published
Publisher: Springer, Berlin
Further Information:Google Scholar
ISI Citation Count:5
URI: http://eprints.soton.ac.uk/id/eprint/258781

Actions (login required)

View Item View Item