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When food runs short, they slowly become clustered together and enter their "gregarious" phase, culminating in an aggressive swarm. Prior to swarming, the locusts undergo a series of dramatic physical changes - their body colour darkens and their muscles grow stronger. ... They found that locusts behaving the most gregariously (in swarm-mode) had approximately three times more serotonin in their systems than their calm, solitary...
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The ant colony optimization algorithm (ACO), is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
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Particle swarm optimization (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimization problem in a search space, or model and predict social behavior in the presence of objectives.
 complexity group social artificial intelligence swarm algorithm
Computer chips of the size and sophistication required to meet the challenge already exist. ... For a planet like Mars, smart dust particles would each have to be the size of a grain of sand. ... Wireless networking would allow these particles to form swarms, and Dr Barker's team has carried out mathematical simulations to see how this would work. ... We envisage that most of the particles can only talk to their nearest neighbours but a...


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Robots that mimic the behaviour of fish have been developed by Japanese car firm Nissan, who believe the technique can be used in crash avoidance systems.


 car crash robot fish swarm artificial intelligence toread
A tiny group of bees act like "pied pipers" to trigger the onset of bee swarms report scientists. By buzzing a "piping" signal the bees are able to initiate an explosive departure from the hive. Bees are known to use signals to tell the colony when to swarm but which bees had the power to make this decision was unclear. Now scientists have identified a small oligarchy of individual bees that hold the key to swarm...


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Swarming locusts not only look different and act differently to solitary locusts, they also have much larger brains.


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Swarmanoid is a heterogeneous robot swarm in which different groups of robots have different capabilities: some robots are specialized in manipulating objects and climbing, some in moving on the ground and transporting objects, and some in flying and observing the environment from above. This video presents the Swarmanoid project, a 4 year research project coordinated by Marco Dorigo and funded by the Commission of the European Union.


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