How to make AI agents flock using zones?
Bearing-Distance Based Flocking with Zone-Based Interactions
September 17, 2024
https://arxiv.org/pdf/2409.10047This paper proposes a novel "zone-based" control system for AI agents mimicking the flocking behavior of birds. It divides an agent's perception into zones (repulsion, conflict, attraction, surveillance) to compute its actions based on the proximity and type of other agents (flockmates vs. threats).
Key points for LLM-based systems:
- Zone-based interactions offer more nuanced and dynamic behavior than traditional flocking models, valuable for complex multi-agent scenarios.
- Reliance on bearing and distance makes the system suitable for LLMs with limited spatial reasoning, allowing for embodiment without global coordinates.
- Adaptable to alien agents introduces a basic form of threat recognition and response, relevant for LLMs interacting in open or adversarial environments.