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

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

343

Lastpage

349

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Object-Oriented Real-Time Dependable Systems, 2002. (WORDS 2002). Proceedings of the Seventh International Workshop on

Conference_Location

San Diego, CA

ISSN

1530-1443

Print_ISBN

0-7695-1576-2

Type

conf

DOI

10.1109/WORDS.2002.1000072

Filename

1000072