AIgent-Based Modeling

AI hashtag#agents have been around for quite some time ("multi-agent systems" are one classical embodiment), but of course in 2024 hashtag#LLM Agents are all the rage. With the explosion of hashtag#agentic applications and agents' ability to interact with other agents and to take actions in the real world, the (still prominent) problem of predicting how ONE agent will behave is now compounded: how will a collective of interacting agents behave?

A recent NeurIPS 2024 paper gives us a hint. The paper, titled "Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents" (link) introduces an LLM-based agent simulation model to explore collective outcomes when a population of LLM agents can maintain a commons. This type of simulation model will be familiar to the Agent-Based Modeling community, as the two concepts of agents are converging.

LLM-Agent-Based Modeling, or AIgent-Based Modeling as it were, is going to play an important role in the design and testing of agents that interact with other agents and with real infrastructure.