Agentic Narratology

In cooperation with GenAI, we propose Agentic Narratology, a narrative-centric theoretical framework for understanding, analyzing, and designing agentic AI systems by treating their internal reasoning, execution, interactions, and emergent behavior as narratives. It synthesizes:

  • Software Narratology: software execution as a story told via memory, traces, and semantics
  • Pattern-Oriented Trace and Log Analysis: systematic interpretation of events via patterns
  • Agentic AI: systems with planning, memory, tool-use, reflection, and autonomy

Agentic Narratology views an AI agent workflow not merely as sequential computation but as a story world with characters (agents and tools), settings (environments and state spaces), conflicts (errors, resource contention, uncertainty), and resolutions (plans executed, tasks completed, failures learned from).

Source: ChatGPT 5 conversation