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

Abstract

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.