The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf
.
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
[article]
2010
arXiv
pre-print
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream generated by the robot controller. This entropy is computed using unsupervised learning; its maximization, achieved by an on-board evolutionary algorithm, implements a "curiosity instinct", favouring controllers visiting many diverse sensori-motor states (sms). Further, the set of sms discovered by an individual can be
arXiv:1006.4959v1
fatcat:m2jggoy5ejdwxk34xktqjscz64