Generation and analysis of multiple futures with swarming agents
نویسنده
چکیده
Most agent-based modeling techniques generate one trajectory per run, greatly under-sampling the space of possible trajectories. Swarming agents that interact through digital pheromones can explore many alternative futures in parallel, based on an interpretation of pheromone fields as probability fields that yields more information from them than swarming models usually yield, and also facilitates integration with probability-based AI mechanisms.
منابع مشابه
Pheromones, Probabilities, and Multiple Futures
Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore many alternative futures in parallel, particularly when they interact through digital pheromone fields. This paper shows how these fields and other artifacts developed by such a model can be interpreted as conditional probabili...
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تاریخ انتشار 2010