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Swarm intelligence is a subfield of artificial intelligence that studies systems exhibiting complex, problem-solving behaviors through the collective actions of individual units. This field draws inspiration from social organization observed in natural systems; the collective behaviors of many living species such as bees, ants, and birds serve as fundamental sources of inspiration for swarm intelligence. Swarm intelligence relies on the ability of individuals to perform collective complex tasks

Swarm intelligence is a subfield of artificial intelligence that studies systems in which individual units exhibit complex, problem-solving behaviors through collective actions. This field draws inspiration from social organization observed in natural systems; the collective behaviors of many species such as bees, ants, and birds serve as primary sources of inspiration for swarm intelligence. Swarm intelligence relies on the ability of individuals to perform collective complex tasks by applying

Particle filtering is a probabilistic estimation method developed to work with nonlinear or multimodal probability distributions, particularly in the context of robotics and autonomous systems. Uncertainty regarding a system’s position, velocity, or other state variables is represented by a large number of samples (particles), and these particles are updated according to measurement and motion time models. Thus, reliable estimates can be obtained even in situations where Gaussian-based methods p