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Seventh IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS'02)
Application of Object-Oriented Design to Knowledge Amplification by Structured Expert Randomization (KASER)
San Diego, California
January 07-January 09
ISBN: 0-7695-1576-2
Stuart H. Rubin, Space and Naval Warfare Systems Center at San Diego
Robert J. Rush Jr, Space and Naval Warfare Systems Center at San Diego
Marion G. Ceruti, Space and Naval Warfare Systems Center at San Diego
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.
Index Terms:
Expert system, KASER(r) (patent pending), knowledge acquisition, object-oriented design, randomization
Citation:
Stuart H. Rubin, Robert J. Rush Jr, Marion G. Ceruti, "Application of Object-Oriented Design to Knowledge Amplification by Structured Expert Randomization (KASER)," words, pp.0343, Seventh IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS'02), 2002
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