# 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 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.