22 July 2014
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Paper Information

Super-boxes - an accountable advisor system

Author(s): D.W. Russell

Abstract:
oxes - an accountable advisor system D.W.

Russell The Pennsylvania State University, Malvern, PA ABSTRACT The paper describes a radical modification to the well-known BOXES meth- odology.

Learning with the BOXES paradigm is slow and capricious, and it is proposed that the insertion of voting logic will accelerate and improve the process, particularly in the case of poorly defined systems.

Advisor states are selected by a modified BOXES state quantization algorithm, rated for positional strength and made accountable, statistically speaking, for their contribution to the performance of the system, by a new post-processing algorithm.

In the spirit of the conference theme, a reference is made to the possible application of the method to the control of a municipal trash-to- steam plant. INTRODUCTION Turner [ 1] defines non-monotonic systems as follows, Non-Monotonic logical systems are logics in which the introduction of new information (axioms) can invalidate old theo...

Pages: 13
Size: 1,035 kb
Paper DOI: 10.2495/AIENG930352

 

 

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This paper can be found in the following book

Applications of Artificial Intelligence in Engineering VIII Vol 2 Applications and Techniques

Applications of Artificial Intelligence in Engineering VIII Vol 2 Applications and Techniques

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