An easily adaptable Decision Making Framework based on Somatic Markers on the Nao-Robot

GND
173313698
Affiliation
Universität Duisburg-Essen
Höfinghoff, Jens;
GND
1145073786
Affiliation
Universität Duisburg-Essen
Steinert, Laura;
GND
1160971668
LSF
10142
Affiliation
Universität Duisburg-Essen
Pauli, Josef
Decision making is an essential aspect of articial intelligent systems such as robots. The adaptation to variant applications of decision making approaches often involves the implementation of previous knowledge and additional changes in the source code. This paper presents improvements to the implementation of an emotional decision making approach. These improvements, composed of an expansion of the decision making algorithm and enhancements of the implementation architecture, ensure a user-friendly and fast adaption to variant applications.
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