Abstract
A prospective paradigm, named Growing Functional Modules (GFM) has been introduced in a recent publication. Based on the epigenetic approach, the GFM paradigm is conceived to automatically generate "artificial brains" that are able to build, through interaction, their own representation of their environments. The present application consists in designing an artificial brain for a simple virtual mushroom shaped robot named hOnGo. This paper describes this initial implementation and its preliminary results. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Pasquier, J. L. (2005). Applying the GFM prospective paradigm to the autonomous and adaptative control of a virtual robot. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3789 LNAI, pp. 959–969). https://doi.org/10.1007/11579427_98
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