Swarm intelligence technology is enabling efficient and adaptive collaboration among autonomous systems, with HAI's research focused on unlocking its potential for various applications.
The emergence of collective intelligence: revolutionizing autonomous systems with swarm intelligence technology
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.