Welcome to adaptive-emergent

Software, Rewilded.

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More demos from the human realm

(See the original demos announcement at the link).

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Series sampler

History of A-E

adaptive-emergent now has a more focussed direction. Part one of this series looked at the history from 2015 to 2021; Part two explained why adappt.

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Collective Intelligence in Animals and Robots

This article says animals in groups, like bees, fish, or birds, can solve problems together through many small local interactions, and engineers are using those same ideas to build robot swarms that can act without a central controller. It also argues the relationship goes both ways: biology inspires better robots, and robots help scientists test how real animal groups make decisions and stay coordinated.

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Pheromone-Focused Ant Colony Optimization Algorithm for Path Planning

This paper describes an improved ant-inspired algorithm for finding good paths, such as routes for robots or navigation systems. Instead of searching too randomly, it puts more attention on promising areas early, strengthens better routes as it learns, and discourages unnecessary turns, so it finds smoother and better paths faster.

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Future Direction-Aware Flocking via Velocity Prediction

This paper looks at how robot swarms can move more smoothly by not only reacting to what nearby robots are doing now, but also by briefly predicting where they are about to move next. The idea is inspired by birds and drones, where small body movements often signal a turn before it actually happens.

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