Difference between revisions of "Hunting"
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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 | + | *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 21:34, 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.
