Emergent Algorithms: A Primer
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Emergent algorithms are algorithms that exhibit emergent behavior, which is the phenomenon of complex and unpredictable patterns arising from simple and local interactions. Emergent algorithms are often inspired by natural systems, such as cellular automata, neural networks, and swarm intelligence, that demonstrate emergent properties. Using this article, we will answer and explore the following questions: How can we design algorithms that can generate novel and unexpected solutions to complex problems? How can we measure and evaluate the emergence of new behaviors and patterns in AI systems? What are some examples of emergent algorithms in nature and technology? Designing Emergent Algorithms One of the main challenges of designing emergent algorithms is to balance between exploration and exploitation, that is, between generating diverse and novel solutions and finding optimal and efficient solutions. A common approach is to use evolutionary computation techniques, such as genetic alg...