👉 Beastality computing is an emerging paradigm that extends the principles of edge and fog computing by focusing on the collective intelligence and capabilities of biological systems, particularly those of social insects like ants and bees. This approach leverages the decentralized, self-organizing, and highly adaptive behaviors of these organisms to solve complex computational problems. In beastality computing, data processing and decision-making are distributed across a network of interconnected nodes that mimic the communication and task allocation seen in natural insect colonies. These nodes, often referred to as "agents," work collaboratively to perform tasks such as optimization, pattern recognition, and resource management, achieving robust and scalable solutions without the need for centralized control. This bio-inspired model offers potential advantages in terms of energy efficiency, resilience, and real-time adaptability, making it particularly promising for applications in robotics, IoT, and smart city infrastructures.
