Biomimetic algorithms
Interactive biomimetic algorithm demonstrations exploring swarm and distributed intelligence.
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Local alignment, cohesion, and separation rules create emergent flocking without a central controller.
Watch flocking patterns emerge and evolve over time. Start with a quiet preset, then explore how small local interactions shape the movement of the group.
Ants leave soft chemical traces in the landscape. Useful routes are walked again, refreshed, and gradually become visible paths.
Watch trails emerge over time as ants respond to one another indirectly. Paths strengthen through repeated use, fade when abandoned, and bend around obstacles.
Scouts explore from the hive. When a bee finds nectar, its return strengthens a local signal that draws more nestmates toward richer sources.
Watch scouts explore, discover, and draw others toward promising food sources. Over time, the hive shifts its attention as simple local choices become a shared direction.
Bats emit small pulses, sense nearby returns, and steer with local information rather than a central map.
Watch bats move through a changing space by sensing what is nearby. Each pulse reveals part of the surroundings, helping the group adjust its path without a central guide.
People steer toward simple destinations while making small local adjustments around neighbours, pillars, gates, and exits.
Watch people move through shared space, adjusting to one another and to the obstacles around them. As each person makes small local choices, larger streams, lanes, and bottlenecks begin to appear.
A growing front explores locally, reinforces routes that reach nutrients, and lets unused tendrils fade into the background.
Watch a living network spread, test possible routes, and strengthen the paths that lead somewhere useful. Over time, unused branches fade while successful connections become clearer.