Emergent_algorithm

Emergent algorithm

Emergent algorithm

Algorithm exhibiting emergent behavior

An emergent algorithm is an algorithm that exhibits emergent behavior. In essence an emergent algorithm implements a set of simple building block behaviors that when combined exhibit more complex behaviors. One example of this is the implementation of fuzzy motion controllers used to adapt robot movement in response to environmental obstacles.[1]

An emergent algorithm has the following characteristics: [dubious – discuss]

  • it achieves predictable global effects
  • it does not require global visibility
  • it does not assume any kind of centralized control
  • it is self-stabilizing

Other examples of emergent algorithms and models include cellular automata,[2] artificial neural networks and swarm intelligence systems (ant colony optimization, bees algorithm, etc.).

See also

References

  1. [1]
    Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on (Volume: 31, Issue: 6)
  2. [2]
    Brunner, Klaus A. (2002). "What's emergent in Emergent Computing?" (PDF). Cybernetics and Systems 2002: Proceedings of the 16th European Meeting on Cybernetics and Systems Research. Vol. 1. Vienna. pp. 189–192. Archived from the original (PDF) on 2011-07-23. Retrieved 2009-02-18.


Stub icon

This chaos theory-related article is a stub. You can help Wikipedia by expanding it.
Share this article:

This article uses material from the Wikipedia article Emergent_algorithm, and is written by contributors. Text is available under a CC BY-SA 4.0 International License; additional terms may apply. Images, videos and audio are available under their respective licenses.