This paper describes multidimensional neural preference classes and preference Moore machines as a principle for integrating different neural and/or symbolic knowledge sources. We relate neural preferences to multidimensional fuzzy set representations. Furthermore, we introduce neural preference Moore machines and relate traditional symbolic transducers with simple recurrent networks by using n...
