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Application of object-oriented design to Knowledge Amplification by Structured Expert Randomization (KASER)

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3 Author(s)
Rubin, S.H. ; Space & Naval Warfare Syst. Center, San Diego, CA, USA ; Rush, R.J., Jr. ; Ceruti, M.G.

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

Published in:

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

Date of Conference:

2002