mult-agent based modelling

Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks
We show how a multi-agent system (ant colony) steered by Spiking Neural Networks establishes self-organization while foraging for food. We evolve the networks using a genetic algorithm and learning to learn. Our results depict emergent behavior, which we investigate.
Cristian Jimenez Romero, Alper Yegenoglu, Aarón Pérez Martı́n, Sandra Diaz-Pier, Abigail Morrison
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Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks
Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks
Cristian Jimenez Romero, Alper Yegenoglu, Aarón Pérez Martı́n, Sandra Diaz-Pier, Abigail Morrison
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