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swarm-intelligence

Explore swarm intelligence - how simple agents following simple rules create complex, intelligent collective behavior. From ant colonies finding shortest paths to bird flocks avoiding predators, discover nature's distributed computing.

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🎯 模擬器提示

📚 術語表

SwarmIntelligence
簡單主體的集體行為
Emergence
簡單規則產生複雜模式
Stigmergy
透過環境間接溝通
Pheromone
化學訊號(或其模擬)
ACO
蟻群優化
PSO
粒子群最佳化
Boids
類鳥模擬演算法
LocalInteraction
代理只了解鄰居
SelfOrganization
沒有中央控制的訂單產生
Decentralized
沒有中央控制器或領導者

🏆 關鍵人物

Marco Dorigo

蟻群優化

James Kennedy

粒子群最佳化

Russell Eberhart

粒子群最佳化

Craig Reynolds

群體演算法

Eric Bonabeau

群體智慧研究

💬 畀學習者嘅話

{'encouragement': "You're learning how nature solved complex problems millions of years before computers existed. Swarm intelligence shows that simple rules, repeated many times, can create astonishing collective behavior.", 'reminder': "Swarm algorithms power real systems today - from network routing to drone coordination. This isn't just theory; it's practical engineering inspired by nature.", 'action': 'Watch ants find paths in the simulator. Adjust boid rules and see flocking change. Run PSO and see particles converge. Experience emergence firsthand.', 'dream': "A computer scientist from Kenya might discover new swarm algorithms by observing African ant species. An engineer from Nigeria might apply swarm robotics to agricultural challenges. Nature's algorithms await discovery everywhere.", 'wiaVision': 'WIA Pin Code believes understanding collective intelligence matters globally. Swarm approaches could solve coordination problems in communities worldwide.'}

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