What question did this study set out to answer?

This work aims to define Event Grammar and its conditions for transforming continuous differences into discrete events.

April 24, 20260 citationsOpen Access

Event Grammar (EG): Minimal Definition for Time Emergence from Continuous Difference

Key Points

This work aims to define Event Grammar and its conditions for transforming continuous differences into discrete events.
Formal definition of Event Grammar within the bounded non-closure framework.
Specification of conditions: Threshold, Persist, and TraceBind.
Analysis of how continuous signals are discretized into runtime units.
Established how time emerges from 'Commit' operations, not as a mere continuum.
Clarified distinct conditions under which pre-semantic differences manifest as determinate events.
Defined the structural rule for converting continuous signals into models used for causal analysis.

Abstract

This note defines the Event Grammar (EG), a minimal boundary layer that converts continuous pre-semantic difference into indexed events within the "bounded non-closure" framework. Positioned between NSPS (Non-Semantic Processing Structure) and ECE (Exo-Centered Equilibrium), EG specifies the conditions—Threshold, Persist, and TraceBind—under which continuous candidate differences become determinate events (^*). The paper formalizes the emergence of time not as a background flow, but as a result of "Commit" operations that trigger index updates (i₍+₁). EG provides the structural rule for how a continuous D–P–R signal field is discretized into the runtime units utilized in subsequent causal models.

Demander à l'IA

Bookmark

View Full Paper