Concept ecology and attractor lifecycle
Studies how fragments, concepts, composed structures, and abstractions emerge, stabilize, decay, and reorganize under open-world experience.
Observable Cognition Beyond Hidden Weights
A research program for AI systems whose concepts, memory, goals, prediction, and consolidation can be measured as runtime state rather than inferred only from hidden model weights.
Definition
It is an external cognitive layer: a place where semantic input, attractors, concepts, goals, prediction traces, and memory consolidation can exist as inspectable objects with histories. The model may provide language capability; the runtime is the object being studied.
First Research System
Studies how fragments, concepts, composed structures, and abstractions emerge, stabilize, decay, and reorganize under open-world experience.
Adds persistent goals, subgoals, planning, ASK/ingest behavior, causal probes, episodic prediction, and ecological governor diagnostics.
Prototypes a long-term memory layer that can receive mature runtime artifacts and return consolidated evidence to the cognitive loop.
Runtime Surface
Short-lived structures appear from repeated semantic activation.
Durable attractors collect evidence and can be inspected as concept objects.
Higher-level control structures may persist, collapse, or be pruned by ecology.
Runtime structures bridge patterns across domains and can dominate open-world learning.
Mature artifacts can move into a substrate for long-term memory and later retrieval.
Research Arc
Defines externally observable runtime state, field dynamics, replay, and audit boundaries.
Studies formation, pruning, boundary conditions, and causal ablation in attractor ecology.
Tests whether runtime attractors can support inspectable concept formation.
Extends the system into larger knowledge streams and cross-version ecological findings.
Evidence Standard
Project Map
cognitive-runtime.org
This site hosts the public thesis, architecture notes, research roadmap, and reproducibility standards for ADAM and the Cognitive Runtime Project.