Noise and the pursuit of complexity: A study in evolutionary robotics

Seth, Anil (1998) Noise and the pursuit of complexity: A study in evolutionary robotics. In: 1st European Conference on Evolutionary Robotics, Paris.

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Abstract

This paper describes a new approach for promoting the evolution of relatively complex behaviours in evolutionary robotics, based on the use of noise in simulation. A `homing navigation' behaviour is evolved (in simulation) for the Khepera mobile robot, and it is shown that high noise levels in the simulation promote the evolution of relatively complex behavioural and neural dynamics. It is also demonstrated that simulation noise can actually accelerate artificial evolution.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Anil Seth
Date Deposited: 06 Feb 2012 20:07
Last Modified: 07 Jun 2012 15:11
URI: http://sro.sussex.ac.uk/id/eprint/24192
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