Emergent algorithm

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.

An emergent algorithm has the following characteristics:

• 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, artificial neural networks and swarm intelligence systems (ant colony optimization, bees algorithm, etc.).

See also

• AI alignment
• Artificial intelligence detection software
• Emergence
• Evolutionary computation
• Fuzzy logic
• Genetic algorithm
• Heuristic

References

1. Emergence
2. List of algorithm general topics
3. Emergentism
4. Genetic algorithm
5. Artificial intelligence
6. Large language model
7. Algorithmic bias
8. Algorithmic trading
9. Memetic algorithm
10. Travelling salesman problem
11. Outline of machine learning
12. Pattern recognition
13. Emergency Severity Index
14. List of metaphor-based metaheuristics
15. Leabra
16. Automated decision-making
17. AI alignment
18. Index of education articles
19. Boltzmann machine
20. Advanced cardiac life support