🔬

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.

🔬 Coba sekarang

Apa ini?

🎯 Tips Simulator

📚 Glosarium

SwarmIntelligence
Perilaku kolektif dari agen sederhana
Emergence
Pola kompleks yang timbul dari aturan sederhana
Stigmergy
Komunikasi tidak langsung melalui lingkungan
Pheromone
Sinyal kimia (atau simulasinya)
ACO
Optimasi Koloni Semut
PSO
Optimasi Kawanan Partikel
Boids
Algoritma simulasi burung-oid
LocalInteraction
Agen hanya tahu tentang tetangga
SelfOrganization
Ketertiban yang timbul tanpa kendali pusat
Decentralized
Tidak ada pengontrol atau pemimpin pusat

🏆 Tokoh Utama

Marco Dorigo

Optimasi Koloni Semut

James Kennedy

Optimasi Kawanan Partikel

Russell Eberhart

Optimasi Kawanan Partikel

Craig Reynolds

Algoritma Boids

Eric Bonabeau

Penelitian intelijen gerombolan

💬 Pesan untuk Pelajar

{'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.'}

Mulai

Gratis, tanpa daftar

Mulai →