Creating a Streaming Decision Agent for Dynamic Environments

In this article, we delve into the creation of a Streaming Decision Agent designed to operate in dynamic settings. The agent continuously processes updates and makes decisions based on partial reasoning. We simulate a dynamic grid environment filled with moving obstacles and a goal that shifts over time. By employing an online A* planner within a receding-horizon framework, the agent commits to a limited number of immediate actions while frequently reassessing its strategy. This approach allows the agent to make real-time adjustments, overriding previous plans when necessary, thus ensuring it does not blindly follow outdated paths. The implementation includes a structured event schema that captures the agent's reasoning and actions, facilitating a clear understanding of its decision-making process.