Swarm intelligence technology is enabling efficient and adaptive collaboration among autonomous systems, with HAI's research focused on unlocking its potential for various applications.
Spontaneous autonomous swarm intelligence
The emergence of collective intelligence: revolutionizing autonomous systems with swarm intelligence technology
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In nature, swarm intelligence enables animals and insects to interact with one another and the environment, decentralized and self-organised. Autonomous swarm intelligence technology equips multiple autonomous agents such as robots and drones with the intelligence of spontaneous teaming, swarming and cooperative tactics, multi-objective governance and control, automatic subtask discovery and allocation, collective contextual awareness, distributed AI via local communication, and human-swarm teaming.
To augment the machine learning ability of swarm intelligence, multi-agent reinforcement learning (MARL) has become a booming research area in AI.
HAI research will address several challenges that remain to pursue sASI, including synergism of artificial and natural intelligence, local-vs-global information representation, autonomous subtask allocation, and cooperative-vs-competitive tactics.
Possible applications for swarm-intelligence technologies include traffic control, freight, agriculture, environmental protection and defence.