The collective behaviour of decentralized, self-organized systems, natural or artificial. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. The resulting effect is that the ‘colony’ exhibits substantially more complex intelligent behaviour than the individual agents are capable of. Examples: ants building structures, birds flocking for protection, bees searching for new hive locations. SI is a sub-group of AI.
Made up of sufficient agents to generate effect
Communication between agents must be efficient
Agents must behave consistently and interchangeably
Agents must be simple and have ‘limited scope’
Agents exhibit simple behaviour and are driven by limited rules
No individual agent or group of agents controls the colony
Agent behavioural rules must drive to keep the colony together
The colony has no memory of individual agents
In a 16 agent colony there are 16 individuals but 65534 connections of agents.
The ant is the equivalent of a single neuron in a brain.
By itself, or even with millions of unconnected individual ants, it cannot achieve much. But if the agents are connected to form a Swarm, the number of connections is orders of magnitude larger than the number of individuals. The colony becomes a brain because of the huge number of connections.
That is why an ant colony is so much more intelligent than an ant.
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