Concept ecology
L1 fragments, L2 concepts, L3 strategies, L4 abstractions, composition, decay, and reorganization.
Architecture
ADAM is a cognitive runtime: an external system where concept objects, memory traces, goals, prediction, planning, and consolidation are represented as inspectable state. The architecture is being developed through versioned experimental lines rather than a single sealed model.
L1 fragments, L2 concepts, L3 strategies, L4 abstractions, composition, decay, and reorganization.
Goal state, subgoals, planning, ASK/ingest, episodic prediction, causal probes, and governor shadow.
A long-term memory layer designed to receive mature runtime artifacts and support later retrieval.
Runtime Standard
ADAM separates language capability from cognitive state. The runtime supplies the measurable surface: what was active, what became stable, what decayed, what was replayed, what goal was blocked, and what evidence caused a transition.
The project studies the runtime dynamics around semantic input, not hidden weights alone.
Concepts and abstractions are tracked as objects with formation, activation, decay, and evidence history.
ADAM 5.0 adds persistent goals, subgoals, planning shadows, ASK drafts, and ecological diagnostics.
ADAM 6.0 is being developed as a bridge from runtime ecology to longer-term structured memory.
Version Boundary
The version line is intentional. ADAM 4.0 asks whether concept ecology forms. ADAM 5.0 asks whether that ecology can be connected to goals, planning, questions, and governance. ADAM 6.0 asks whether mature runtime artifacts can be consolidated without erasing their provenance.