/organism – autorite

A system that learns, transforms, and evolves — like a living entity.

DAM is not a model with fixed rules.
It behaves more like a living structure:

Inspired by nature, cognition, and adaptive intelligence,
DAM is a mathematical framework designed to breathe, respond, and evolve.

DAM does not rely on linear, external time.
It generates its own internal temporal density based on energy and entropy.

Each variable evolves not only by its own history,
but in relation to the network of connections and contextual signals it’s embedded within.

DAM doesn’t just evolve its variables —
it evolves its rules of evolution.
In other words, it learns how to learn.

DAM is built across several interacting layers:

Each layer captures a distinct dynamic property of living systems.

DAM_X(t)=(Xi(t),θij(t),τi(t),Hi(t),C(t),R(t))DAMX(t)=(Xi(t),θij(t),τi(t),Hi(t),C(t),R(t))

Component	Meaning
`Xi(t)`	State of variable/entity at time t
`θij(t)`	Strength of linkage between variables
`τi(t)`	Internal temporal density
`Hi(t)`	Evolutionary objective function
`C(t)`	Environmental/contextual input
`R(t)`	Rules of adaptive evolution

DAM reimagines modeling not as static analysis — but as an unfolding interaction.

DAM treats mathematics not just as a calculation tool,
but as a living representational system.

Each equation expresses a behavior.
Each parameter reflects a context.
To read DAM is not just to compute — it’s to listen to the structure evolve.