The concept that ants can be 'smarter' than people in certain contexts relates to swarm intelligence, where individual simple agents following basic rules can collectively solve complex problems. Ants achieve impressive feats through decentralized decision-making, such as optimizing foraging paths and cooperating to transport large prey. This phenomenon is observed in various natural systems and has inspired algorithms and models in computer science and operations research.
Key Takeaways
Swarm intelligence allows simple agents to collectively solve complex problems
Decentralized decision-making enables ants to optimize tasks without centralized control
Studying swarm intelligence can inspire new algorithms and models in computer science
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