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Ants are dumb...but ant colonies are smart. More generally, there's the idea of swarm intelligence. Quite a lot of research in this area. Might be applied to crypto and AI agents specifically. And distributed systems more generally. The swarm intelligence algorithms have amazing names. They're all named after bees, fireflies, wolves, whales, dragonflies, cuckoos, and the like. It does feel there's something here in terms of getting crypto crowds to cooperate, and getting AI agents on the same page. CITATIONS (1) Particle Swarm Optimization (PSO) Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks, 4, 1942–1948. IEEE. https://t.co/fTQ5ZZ1ESo (2) Ant Colony Optimization (ACO) Dorigo, M., Maniezzo, V., & Colorni, A. (1996). Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 26(1), 29–41. https://t.co/NGBmZ8YepN (3) Artificial Bee Colony (ABC) Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization. Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department. https://t.co/BC442ZznAS (4) Firefly Algorithm (FA) Yang, X.-S. (2009). Firefly algorithms for multimodal optimization. In O. Watanabe & T. Zeugmann (Eds.), Proceedings of the 5th International Conference on Stochastic Algorithms: Foundations and Applications (pp. 169–178). Springer. https://t.co/d11NzAJwmV (5) Grey Wolf Optimizer (GWO) Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey wolf optimizer. Advances in Engineering Software, 69, 46–61. https://t.co/mWi7qJIfrt (6) Bat Algorithm (BA) Yang, X.-S. (2010). A new metaheuristic bat-inspired algorithm. In J. González et al. (Eds.), Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) (pp. 65–74). Springer. https://t.co/9w6xVlH3ia (7) Cuckoo Search (CS) Yang, X.-S., & Deb, S. (2009). Cuckoo search via Lévy flights. Proceedings of World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), 210–214. IEEE. https://t.co/dVYUIEU4Mg (8) Whale Optimization Algorithm (WOA) Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances in Engineering Software, 95, 51–67. https://t.co/q7EtXrYgKI (9) Dragonfly Algorithm (DA) Mirjalili, S. (2016). Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Computing and Applications, 27, 1053–1073. https://t.co/wJtGaR0C9W (10) Bacterial Foraging Optimization Algorithm (BFOA) Passino, K. M. (2002). Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine, 22(3), 52–67. https://t.co/HCqpxVl9XB