Title :
Application of object-oriented design to Knowledge Amplification by Structured Expert Randomization (KASER)
Author :
Rubin, Stuart H. ; Rush, Robert J., Jr. ; Ceruti, Marion G.
Author_Institution :
Space & Naval Warfare Syst. Center, San Diego, CA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper presents research results of a project that produced a progressively dependable knowledge amplifier. A knowledge amplifier can acquire a virtual-rule space automatically that is exponentially larger than the actual, declared-rule space and with a decreasing non-zero likelihood of error. A Knowledge Amplifier by Systematic Expert Randomization (KASER) overcomes the knowledge-acquisition bottleneck in intelligent systems by amplifying user-supplied knowledge. This enables the construction of an intelligent, creative system that fails softly, learns over a network and has enormous potential for automated decision making. The system achieves creative reasoning through the use of declarative object trees. A KASER computes with words and phrases and presents a capability for analogical explanation. We implemented the KASER with an object-oriented design
Keywords :
expert systems; knowledge acquisition; object-oriented programming; automated decision making; declarative object trees; declared-rule space; expert system; intelligent systems; knowledge amplification by structured expert randomization; object-oriented design; user-supplied knowledge; virtual rule space; Computer architecture; Decision making; Engines; Error correction; Expert systems; Intelligent networks; Intelligent systems; Knowledge acquisition; Production systems; USA Councils;
Conference_Titel :
Object-Oriented Real-Time Dependable Systems, 2002. (WORDS 2002). Proceedings of the Seventh International Workshop on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7695-1576-2
DOI :
10.1109/WORDS.2002.1000072
