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This paper tries to bring together three seemingly only remotely related fields: animal cognition in biology, machine learning in computer science, and the planning and deployment of resilient Airborne Networks. The underlying motivation is that the latest advances in animal behavior ecology such as social learning, innovation, and cognitive ecology may offer some meaningful insights for computational...
This research integrates rigorous methods of reinforcement learning (RL) and control engineering with a behavioral (ethology) approach to the agent technology. The main outcome is a hybrid architecture for intelligent autonomous agents targeted to the Artificial Life like environments. The architecture adopts several biology concepts and shows that they can provide robust solutions to some areas....
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