Emergent algorithm

An emergent algorithm is an <a href="/facts/Algorithm/fnl5NmRt">algorithm</a> that exhibits <a href="/facts/Emergence/zlFRW0oj">emergent behavior</a>. 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 <a href="/facts/Fuzzy_logic/1PvN4Att">fuzzy</a> motion controllers used to adapt robot movement in response to environmental obstacles.
An emergent algorithm has the following characteristics: [dubious – discuss]

<ul><li>it achieves predictable global effects</li>
<li>it does not require global visibility</li>
<li>it does not assume any kind of centralized control</li>
<li>it is <a href="/facts/Self-stabilization/FNY3eYJw">self-stabilizing</a></li></ul>
Other examples of emergent algorithms and models include <a href="/facts/Cellular_automata/6gfkjKAW">cellular automata</a>, <a href="/facts/Artificial_neural_networks/6V1jMlkx">artificial neural networks</a> and <a href="/facts/Swarm_intelligence/fI8461G4">swarm intelligence</a> systems (<a href="/facts/Ant_colony_optimization/SXGYs630">ant colony optimization</a>, <a href="/facts/Bees_algorithm/t8Vl9Peq">bees algorithm</a>, etc.).

Emergent algorithm open-in-new

Emergent algorithm