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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.

🔬 지금 사용하기

이것은?

🎯 시뮬레이터 팁

📚 용어집

SwarmIntelligence
단순 에이전트의 집단 행동
Emergence
단순한 규칙에서 발생하는 복잡한 패턴
Stigmergy
환경을 통한 간접 커뮤니케이션
Pheromone
화학 신호(또는 시뮬레이션)
ACO
개미 식민지 최적화
PSO
입자 군집 최적화
Boids
Bird-oid 시뮬레이션 알고리즘
LocalInteraction
에이전트는 이웃에 대해서만 알고 있습니다.
SelfOrganization
중앙 통제 없이 발생하는 주문
Decentralized
중앙 컨트롤러나 리더가 없음

🏆 핵심 인물

Marco Dorigo

개미 식민지 최적화

James Kennedy

입자 군집 최적화

Russell Eberhart

입자 군집 최적화

Craig Reynolds

보이드 알고리즘

Eric Bonabeau

군집 지능 연구

💬 학습자에게

{'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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