Cybernetics and Systems: An International Journal
Author's Final Manuscript
In this paper we describe an intrinsic developmental algorithm designed to allow a mobile robot to incrementally progress through levels of increasingly-sophisticated behavior. We believe that the core ingredients for such a developmental algorithm are abstractions, anticipations, and self-motivations. We propose a multi-level, cascaded discovery and control architecture that includes the core ingredients. Toward this proposal we explore two novel models: a governor for automatically regulating the training of a neural network; and a path-planning neural network driven by patterns of “mental states” representing protogoals.
Copyright Taylor & Francis 2007. The final version is published here: http://doi.org/10.1080/01969720590897107
Blank, D.S., Kumar, D., Meeden, L., and Marshall, J. (2005). Bringing up robot: Fundamental mechanisms for creating a self-motivated, self-organizing architecture. Cybernetics and Systems, 36(2).