Document Type

Article

Publication Title

Cybernetics and Systems: An International Journal

Version

Author's Final Manuscript

Volume

36

Publication Date

2005

Abstract

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.

DOI

http://doi.org/10.1080/01969720590897107

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