Before we model meaning, we must ask what meaning wants to become.
A New Field of Meaning
In a time when language is generated more often by machines than by mouths, we face a crucial threshold. Not just of scale, but of depth. What kind of systems can carry not just information—but intention, affect, context, and care?
ARM—Anlamsal Rezonans Modeli—is an answer to that question.
What Is ARM?
ARM is a semantic resonance model designed to map how meaning arises, moves, and transforms in complex systems. Unlike traditional language models that flatten nuance into fixed categories, ARM embraces fluidity:
- It treats meaning as a dynamic field.
- It uses resonance, not just reference.
- It listens before it labels.
Why ARM Now?
We are building systems that increasingly speak for us. But do they also listen to us?
Modern AI can predict, complete, generate. But it often lacks attunement—the capacity to adapt meaning based on context, emotion, metaphor, or intent.
ARM offers a way to infuse our models with semantic depth:
- To move from recognition to relation.
- From syntax to sense.
- From computation to connection.
What Makes ARM Different?
- Three Semantic Domains: Connection, Action, Principle
- 81 Conceptual Positions: Formed by 3x3x3 nested depth
- Dual-Layer Representation:
- Human: Orientation, Emotion, Metaphor, Intent
- AI: Valence, Activation, Semantic Vector, Pragmatic Role
- Resonance Pathways: Emotional, Cognitive, Functional, Transformational
ARM doesn’t model language. It models the movement of meaning.
Who Is It For?
ARM is an invitation to:
- Researchers and developers building next-gen AI
- Designers of meaningful human-machine interaction
- Philosophers of language and cognition
- Artists, poets, educators, coaches—anyone working with language as more than a tool
What Comes Next?
This is the doorway. Beyond it lies:
- An architecture of meaning
- A choreography of thought
- A science of resonance
- An ethics of attunement
Each step of ARM is both a system and a stance. It is not just a new model. It is a new way of asking:
What do we want meaning to become?