Keynote: Patterns In The Chaos
summary
Argues that apparent chaos hides reusable patterns and maps biological algorithms onto large distributed systems, showing concrete numbers and tools: ABC (Artificial Bee Colony) outperforms others in benchmarks, ant colonies scale to ~306 million workers across 45,000 nests, bees use a quorum of ~15–30 scouts, and kilobots (>1,000 robots) demonstrate decentralized coordination without micromanagement. Suggests direct applications—particle swarm and ant‑colony optimization for routing and TSP, TCP slow‑start analogies for autoscaling—and reports the kilobot experiment succeeds at emergent synchronization.
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chapters (21)
- 0:00Start
- 7:16Data Lineage
- 16:22Our Brains Are The Ultimate Collective
- 17:03Patterns in Collective Computation
- 17:49Swarm Intelligence
- 23:28No One In Charge
- 24:29Autonomous Agent
- 25:24Network Diffusion and Contagion
- 27:19Swarm Algorithms
- 30:25Computational Agent
- 33:27Bees
- 34:12House Hunting Algorithm
- 40:49Chaos Or Pattern?
- 42:26Congestion Avoidance Optimization
- 44:00Exchanging Information
- 45:16Foraging Strategy
- 46:46Foraging Optimization
- 48:18TCP slow start
- 53:58Al Algorithms At Scale
- 55:48Reliability and Resilience
- 57:26Resources
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