Building AI Agents to Play Catan

Designing AI for environments with chance and imperfect information is a fascinating challenge. In this workshop, we will develop a Python agent capable of playing Settlers of Catan and compare different approaches live. Beyond the board, attendees will discover how the principles used here apply to any LLM-based agent system. You will learn to equip your agents with tools, connect services via MCP (Model Context Protocol), and structure robust architectures to optimize complex decision-making.