A Learning-by-Metaphor Human-Machine System

Author

Rubin, Stuart H.

Author_Institution

SSC San Diego, San Diego

Volume

5

fYear

2006

fDate

8-11 Oct. 2006

Firstpage

4439

Lastpage

4444

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSMC.2006.384833

Filename

4274598