Foundations of Agentic Systems Theory (FAST)

The Foundations of Agentic Systems Theory (FAST) workshop provides a venue for the investigation of system-level behaviors of agentic AI. FAST aims to draw from various fields (including complex systems, developmental biology, organizational sociology, and cognitive science) with the goal of understanding which specific mechanisms of emergent behavior from other systems carry over to systems of LLM-based agents, which properties of the underlying agents (and their LLMs) facilitate or block these behaviors, and to what extent system-wide outcomes can be controlled or induced. Answering these questions is the prerequisite for safe and well-understood deployment of agentic AI.