Seguese

Seguese is a fictional analytic framework used in speculative fiction and teaching materials to illustrate how sequences of actions shape outcomes in complex systems. The term combines the idea of following a sequence with causal and temporal dependencies. Although not a real-world standard, Seguese is employed as a conceptual tool to discuss reasoning about pipelines and narratives.

Its core idea is to model a sequence as a graph of actions with directed edges representing causal or temporal influence. Nodes denote decisions, events, or states; edges encode how one step affects subsequent steps. A context window captures nearby conditions that modify the effect of each action, highlighting how similar steps can lead to different results under different circumstances.

Seguese is commonly used in education to teach algorithmic thinking, process design, and storytelling. In fiction, it serves as a device for analyzing plot causality and character choices. In non-fiction, it appears as a thought experiment to compare different decision pipelines without asserting formal validity.

Variants such as Seguese Core and Seguese Extended add features like confidence scores for steps and revision histories that track how the interpretation of a step changes over time. An example would map a simple supply chain from order placement to delivery, showing how delays propagate.

Reception is pragmatic: instructors value it for clarity, while critics note that, as a fictional construct, it lacks a formal mathematical foundation and can be ambiguous if not clearly defined in context.