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Proceedings Paper

Behavioral similarity measurement based on image processing for robots that use imitative learning
Author(s): Dante G. Sterpin B.; Fernando Martinez S.; Edwar Jacinto G.
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Paper Abstract

In the field of the artificial societies, particularly those are based on memetics, imitative behavior is essential for the development of cultural evolution. Applying this concept for robotics, through imitative learning, a robot can acquire behavioral patterns from another robot. Assuming that the learning process must have an instructor and, at least, an apprentice, the fact to obtain a quantitative measurement for their behavioral similarity, would be potentially useful, especially in artificial social systems focused on cultural evolution. In this paper the motor behavior of both kinds of robots, for two simple tasks, is represented by 2D binary images, which are processed in order to measure their behavioral similarity. The results shown here were obtained comparing some similarity measurement methods for binary images.

Paper Details

Date Published: 8 February 2017
PDF: 6 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102251Y (8 February 2017); doi: 10.1117/12.2267035
Show Author Affiliations
Dante G. Sterpin B., CUN (Colombia)
Fernando Martinez S., CUN (Colombia)
Edwar Jacinto G., Univ. Distrital Francisco José de Caldas (Colombia)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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