Difference between revisions of "Hunting"

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(Full Title or Meme)
(Solutions)
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*A liberal [[Hunting]] algorithm will seek further afield for better solutions.
 
*A liberal [[Hunting]] algorithm will seek further afield for better solutions.
 
*As in politics, a conservative algorithm will result in less [[Disruption]] and will often get trapped by local maxima, just as a hill climbing algorithm will.
 
*As in politics, a conservative algorithm will result in less [[Disruption]] and will often get trapped by local maxima, just as a hill climbing algorithm will.
*As in politics, a liberal solution will be needed when the conservative solutions diverge to far from the higher level goals by gradual [[Evolution]].
+
*As in politics, a liberal solution will be needed when the conservative solutions diverge too far from the higher level goals by gradual [[Evolution]].
 
*As in politics, a conservative algorithm will eventually result in the destruction of the system by external [[Disruption]] or revolution from within.
 
*As in politics, a conservative algorithm will eventually result in the destruction of the system by external [[Disruption]] or revolution from within.
 
*As in politics, a constant (but acceptable) shifting between liberal and conservative algorithms will provide adaption of the solution without unacceptable [[Disruption]].
 
*As in politics, a constant (but acceptable) shifting between liberal and conservative algorithms will provide adaption of the solution without unacceptable [[Disruption]].

Revision as of 20:34, 20 July 2018

Full Title or Meme

A process (usually expressed as an algorithm) for seeking a better solution.

Context

Bayesian Identity Proofing provides the means for a collection of authentication and verification steps to be validated.

Problems

Ensuring that any solution remains optimal by continually Hunting for better ones near the current one.

Solutions

  • A conservative Hunting algorithm will seek only solutions near to the current one.
  • A liberal Hunting algorithm will seek further afield for better solutions.
  • As in politics, a conservative algorithm will result in less Disruption and will often get trapped by local maxima, just as a hill climbing algorithm will.
  • As in politics, a liberal solution will be needed when the conservative solutions diverge too far from the higher level goals by gradual Evolution.
  • As in politics, a conservative algorithm will eventually result in the destruction of the system by external Disruption or revolution from within.
  • As in politics, a constant (but acceptable) shifting between liberal and conservative algorithms will provide adaption of the solution without unacceptable Disruption.

References