Robustness in artificial life

Silverman, E. and Ikegami, T. (2011) Robustness in artificial life. International Journal of Bio-Inspired Computation, 3(3), p. 179. (doi: 10.1504/IJBIC.2011.040316)

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Abstract

Finding robust explanations of behaviours in Alife and related fields is made difficult by the lack of any formalised definition of robustness. A concerted effort to develop a framework which allows for robust explanations of those behaviours to be developed is needed, as well as a discussion of what constitutes a potentially useful definition for behavioural robustness. To this end, we describe two senses of robustness: robustness in systems; and robustness in explanation. We then propose a framework for developing robust explanations using linked sets of models, and describe a programme of research incorporating both robotics and chemical experiments which is designed to investigate robustness in systems.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Silverman, Dr Eric
Authors: Silverman, E., and Ikegami, T.
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > MRC/CSO SPHSU
Journal Name:International Journal of Bio-Inspired Computation
Publisher:Inderscience
ISSN:1758-0366
ISSN (Online):1758-0374
Published Online:23 May 2011

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