Expertise

2019 ◽  
pp. 172-189
Author(s):  
John M. Flach ◽  
Fred A. Voorhorst
Keyword(s):  
Adaptive Control ◽  
Information Processing ◽  
Control System ◽  
Adaptive Control System ◽  
Semiotic System ◽  
Fundamental Point ◽  
Self Organizing

The fundamental premise of this chapter is that expertise is not a property of any particular stage of information processing, nor is it a property of an individual. Rather it is the property of a triadic semiotic system where the quality of performance depends on the coupling of an agent with a problem ecology through a representation. The dynamics of this coupling is akin to a self-organizing, adaptive control system. The case is made that many of the debates about the nature of expertise arise from the different ways that people have parsed the triadic system into sub-components (elements or dyads). Thus, the fundamental point of this chapter is to support the claim that when it comes to expertise, the whole (the semiotic triad) is much more than the sum of the pieces.

Hybrid learning concepts based on self-organizing neural networks for adaptive control of walking machines

1997 ◽  
Vol 22 (3-4) ◽  
pp. 317-327 ◽  
Author(s):  
W. Ilg ◽  
K. Berns ◽  
Th. Mühlfriedel ◽  
R. Dillmann
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Hybrid Learning ◽  
Walking Machines ◽  
Self Organizing
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