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Exploring Symbiotic Coevolution in Heterogeneous Ant Teams: A Research Study

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This research investigates whether heterogeneous teams of evolving agents can learn to collaborate for survival. By using two specialized ant teams—soldiers and workers—operating in a grid-based environment filled with resources and threats, we apply NEAT algorithms. Soldiers protect workers from spiders while workers gather food. The study evaluates team performance through fitness measures, analyzing how evolved agents perform in combined or separate environments. Future work aims to enhance communication and shared fitness among agents to foster better cooperation.

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Exploring Symbiotic Coevolution in Heterogeneous Ant Teams: A Research Study

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  1. Super Ants Matt deWet & David Robson

  2. Symbiotic Coevolution • Primary research question: • “Can heterogeneous teams of evolving agents, who depend upon each other for survival, learn to work together?”

  3. How to test that • Environment needed: • Two specialized teams of agents, run by NEAT • Different abilities, different roles • Can only survive by working together

  4. Our Environment • Ants! • Soldiers & Workers • Environmental Threats • Spiders • These love the taste of worker flesh • Controlled by a static algorithm • Starvation • Great at killing spiders • Not so great at gathering food

  5. Our Environment (cont’d) • The world • Bounded grid of variable size • Randomly placed food • Randomly spawned enemies • Movement • All entities move at most one space at a time on the grid • Movements all take place simultaneously, so no unit has an advantage

  6. The Plan • Sensors • Soldiers can see nearby enemies and workers • Workers can see nearby food, enemies, and soldiers • Desired behavior • Soldiers learn to keep foraging workers safe • How can we tell? • Overall fitness? • Inspection

  7. The Experiment • Control • Evolve the two groups separately, then stick them together and see how they do • Experiment • Evolve the two populations together, observe behavior • Variations: • Pre-evolved or un-evolved brains.

  8. Current Work

  9. Current Work • Current fitness functions • Soldiers • fitness: Spiders killed • Workers • fitness: How much food is eaten • A video!

  10. Future work • Shared fitness • Any shared fitness among all agents in one population is nullified, because only relative fitness is used to determine who reproduces. • Alternate fitness functions • Slightly more engineered • Updated sensors • Add nearby ants • Blob sensors

  11. Questions? Ideas? Funny ant stories?

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