bio-inspired

In this talk, I give an overview of the stochastic approach to self-organizing particle systems, including Markov chain design and analysis for the compression, shortcut bridging, and separation problems.

We extend the stochastic approach to self-organizing particle systems used in compression to shortcut bridging, in which particles self-assemble bridges over gaps that balance a tradeoff between bridge length and cost. This work is inspired by the bridging behavior of Eciton army ants, and demonstrates how local interactions can guide a system to globally optimal configurations.

In this talk, I present a deep dive of our stochastic algorithm for shortcut bridging based on the bridging behavior of Eciton army ants.

We extend the stochastic approach to self-organizing particle systems used in compression to shortcut bridging, in which particles self-assemble bridges over gaps that balance a tradeoff between bridge length and cost. This work is inspired by the bridging behavior of Eciton army ants, and demonstrates how local interactions can guide a system to globally optimal configurations.

In this talk, I present algorithms for compression and shortcut bridging designed using the stochastic approach to self-organizing particle systems.