PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 16, 20260 citationsOpen Access

Cognitive Wave–Time Theory: An Architectural Framework for Coherence-Regulated Reality

View Full Paper
GJGábor Jandó

Key Points

  • Cognitive Wave-Time Theory aims to conceptualize time as an emergent property rather than a fundamental variable, emphasizing coherence in systems.
  • Introduced conceptual foundations of coherence-regulated dynamics
  • Developed a diagrammatic architecture for observer-participatory systems
  • Presented formal extensions toward stability based on regulation
  • Outlined testable implications for complex systems
  • Reframed the understanding of observation as active participation
  • Demonstrated that stability and continuity arise from coherence regulation
  • Provided a time-free perspective applicable across various domains

Abstract

This paper introduces Cognitive Wave–Time Theory (CWTT), a framework in which time is not treated as a fundamental variable, but as an emergent phenomenon arising from coherence dynamics in interacting systems. Rather than relying on time-indexed evolution, CWTT proposes that stability, causality, and continuity emerge from the regulation of coherence under bounded instability. The theory reframes observation as participation, and information as an active structural component. The framework integrates ideas from nonlinear dynamics, information theory, and cognitive systems, providing a time-free structural perspective applicable across physical, biological, and artificial domains. The paper presents:- conceptual foundations of coherence-regulated dynamics- a diagrammatic architecture for observer-participatory systems- formal extensions toward regulation-based stability- testable implications for complex systems CWTT is intended as a foundational framework, offering structural clarity and a new lens for understanding time-like behavior without assuming time as a primitive dimension.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gábor Jandó (2026) studied this question.

synapsesocial.com/papers/69e07d732f7e8953b7cbe62chttps://doi.org/10.5281/zenodo.19562217
Ask AI
Helpful
Bookmark
Share
View Full Paper