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On the one hand, all the typical swarm algorithms rely on local interactions, where agents exchange information with the neighbors using the environment (stigmergy). This local interaction are proven to result in emergent behavior. It will also allow agents groups that are far away to research independent parts of the solution space.
On the other hand, it's possible to create a shared memory (current architecture) with which all the agents can interact. But I assume it can result in the system more likely getting stuck in the local minima.
The text was updated successfully, but these errors were encountered:
On the one hand, all the typical swarm algorithms rely on local interactions, where agents exchange information with the neighbors using the environment (stigmergy). This local interaction are proven to result in emergent behavior. It will also allow agents groups that are far away to research independent parts of the solution space.
On the other hand, it's possible to create a shared memory (current architecture) with which all the agents can interact. But I assume it can result in the system more likely getting stuck in the local minima.
The text was updated successfully, but these errors were encountered: