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A GOAL-ORIENTATION FRAMEWORK FOR SELF-ORGANIZING CONTROL.
- Source :
-
Advances in Complex Systems . May2013, Vol. 16 Issue 2/3, p1-14. 14p. 1 Diagram, 2 Graphs. - Publication Year :
- 2013
-
Abstract
- Self-organization, especially in the framework of embodiment in biologically inspired robots, allows the acquisition of behavioral primitives by autonomous robots themselves. However, it is an open question how self-organization of basic motor primitives and goal-orientation can be combined, which is a prerequisite for the usefulness of such systems. In the paper at hand we propose a goal-orientation framework allowing the combination of self-organization and goal-orientation for the control of autonomous robots in a mutually independent fashion. Self-organization based motor primitives are employed to achieve a given goal. This requires less initial knowledge about the properties of robot and environment and increases adaptivity of the overall system. A combination of self-organization and reward-based learning seems thus a promising route for the development of adaptive learning systems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02195259
- Volume :
- 16
- Issue :
- 2/3
- Database :
- Academic Search Index
- Journal :
- Advances in Complex Systems
- Publication Type :
- Academic Journal
- Accession number :
- 90032367
- Full Text :
- https://doi.org/10.1142/S0219525913500021