Title
Application of Object-Oriented Design to Knowledge Amplification by Structured Expert Randomization (KASER)
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.
Year
DOI
Venue
2002
10.1109/WORDS.2002.1000072
WORDS
Keywords
Field
DocType
knowledge amplification,creative system,structured expert randomization,object-oriented design,kaser compute,systematic expert randomization,knowledge amplifier,virtual-rule space,intelligent system,user-supplied knowledge,creative reasoning,dependable knowledge amplifier,declared-rule space,expert system,intelligent systems,intelligent networks,engines,production systems,expert systems,object oriented design,object oriented programming,error correction,computer architecture
Object-oriented design,Bottleneck,Intelligent decision support system,Object-oriented programming,Computer science,Expert system,Real-time computing,Error detection and correction,Artificial intelligence,Intelligent Network,Knowledge acquisition,Distributed computing
Conference
ISSN
ISBN
Citations 
1530-1443
0-7695-1576-2
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Stuart H. Rubin119931.06
Robert J. Rush Jr.241.78
Marion G. Ceruti312627.87
Rush, R.J., Jr.400.34