Before revision: One example of this is the implementation of fuzzy motion controllers used to adapt robot behavior to environmental challenges .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 ) 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 Examples of emergent algorithms and models include cellular automata, artificial neural networks and swarm intelligence systems (ant colony optimization, bees algorithm, etc.)
After revision: One example of this is the implementation of fuzzy motion controllers used to adapt robot movement response to environmental obstacles .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 ) 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 Examples of emergent algorithms and models include cellular automata, artificial neural networks and swarm intelligence systems (ant colony optimization, bees algorithm, etc.)