A hybrid knowledge processing architecture

An example of a hybrid system architecture integrating connectionist models and symbolic knowledge processing is introduced. In particular the inclusion of non-symbolic knowledge sources (data from physical processes, measurements, sensors etc.), transformation of learned knowledge into a symbolic form (rule extraction) and associative storage as well as retrieval of information are discussed by means of application examples. Finally, parallel hardware support for the proposed hybrid system architecture is presented.<
>