🔬

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.

🔬 今すぐ試す

これは何?

🎯 シミュレーターのヒント

📚 用語集

SwarmIntelligence
単純なエージェントによる集団行動
Emergence
単純なルールから生まれる複雑なパターン
Stigmergy
環境を介した間接的なコミュニケーション
Pheromone
化学信号 (またはそのシミュレーション)
ACO
アリのコロニーの最適化
PSO
粒子群の最適化
Boids
鳥のようなシミュレーションアルゴリズム
LocalInteraction
エージェントは隣人のことしか知らない
SelfOrganization
中央制御なしで生じる秩序
Decentralized
中央コントローラーもリーダーもいない

🏆 主要人物

Marco Dorigo

アリのコロニーの最適化

James Kennedy

粒子群の最適化

Russell Eberhart

粒子群の最適化

Craig Reynolds

ボイドアルゴリズム

Eric Bonabeau

群知能研究

💬 学習者へ

{'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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