Multiobjectivity and complexity in embodied cognition

Teo, Jason Tze Wi and Abbass, H. A. (2005) Multiobjectivity and complexity in embodied cognition. IEEE Transactions on Evolutionary Computation , 9 (4). pp. 337-360. ISSN 1089-778X

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Official URL: http://dx.doi.org/10.1109/TEVC.2005.846902

Abstract

We propose a novel perspective on the use of evolutionary multiobjective optimization (EMO) as a paradigm for evolving embodied organisms and as a framework for characterizing complexity. The paper demonstrates novel experiments that show the power of EMO in generating robots with different morphologies, yet with very similar locomotion abilities. The proposed framework for comparing the complexity of an object across different complexity measures allowed meaningful and quantifiable comparisons between the evolved organisms. We show empirically that the partial order feature inherited in the Pareto concept exhibits characteristics which are suitable for comparing between the complexities of artificially evolved embodied organisms.

Item Type:Article
Uncontrolled Keywords:Artificial life, Complexity, Embodied cognition, Evolutionary multiobjective optimization (EMO), Evolutionary robotics.
Subjects:T Technology > T Technology (General)
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:994
Deposited By:IR Admin
Deposited On:14 Oct 2011 15:36
Last Modified:23 Feb 2015 10:11

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