Title :
A Learning-by-Metaphor Human-Machine System
Author :
Rubin, Stuart H.
Author_Institution :
SSC San Diego, San Diego
Abstract :
One of the outstanding problems facing designers of expert systems pertains to the capture of human expertise for replay by the system. The scaling of such expert or knowledge-based systems implies a capability for natural language situational entry as well as a meta-rule based system for reasoning by analogy. The former capability provides for the semantic normalization of natural language, while the latter capability employs metaphor to expand the derived rule base -thereby enabling it to fail softly.
Keywords :
evolutionary computation; expert systems; graphical user interfaces; human computer interaction; inference mechanisms; learning by example; natural language processing; systems analysis; analogy-based reasoning; evolutionary programming; expert system design; graphical user interface; human-machine interface; knowledge-based system; learning-by-metaphor human-machine system; meta-rule based system; natural language semantic normalization; Cybernetics; Data structures; Expert systems; Hardware; Humans; Information technology; Knowledge based systems; Man machine systems; Natural languages; Switches;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.384833
