The Harmonic Theory; A mathematical framework to build intelligent contextual and adaptive computing, cognition and sensory system
Nick Mehrdad Loghmani

TL;DR
Harmonic theory offers a mathematical framework for understanding and designing adaptive, context-aware systems that exhibit emergent behaviors and complex interactions, advancing the analysis of collaborative and ad-hoc systems.
Contribution
This paper introduces a novel mathematical framework called Harmonic Theory for modeling and analyzing the structure, behavior, and evolution of complex, adaptive systems.
Findings
Provides a formal description of harmonic systems' structure and behavior
Enables analysis of emergence and collaboration in complex systems
Facilitates development of intelligent, context-aware computing systems
Abstract
Harmonic theory provides a mathematical framework to describe the structure, behavior, evolution and emergence of harmonic systems. A harmonic system is context aware, contains elements that manifest characteristics either collaboratively or independently according to system's expression and can interact with its environment. This theory provides a fresh way to analyze emergence and collaboration of "ad-hoc" and complex systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Applications
