Cognitive Models
A model series designed to operate inside a cognitive architecture.
Ingenious models are purpose-built interfaces and cognitive components. Deep capability comes from the complete system: CFAM, DFAM, agents, memory, retrieval, knowledge graphs, tools and verification.
Explore the model family.
Select a model to review its role, operating scale, deployment profile and connection to the wider cognitive system.
ING-M-LI-v1
A compact language interface for edge, IoT and embedded cognitive terminals. It parses commands and routes structured intent without depending on external APIs.
- Real-time intent parsing
- Structured command decomposition
- Offline-first deployment
- Sub-10 ms target latency on embedded CPU
- Designed for constrained devices
- No external API dependency
Concept Formation and Appraisal Model.
CFAM produces structured conceptual intelligence through explicit stages rather than relying only on statistically likely language.
Frames the request, domain, intent, constraints and contextual conditions.
Identifies concepts, entities, assumptions, goals, tensions and hidden dependencies.
Selects ethical, logical, scientific, governance and contextual principles.
Checks concepts against approved evidence and source constraints.
Builds principle-guided connections between concepts and systems.
Produces scored new concepts, frameworks and possible solutions.
Organises concepts into coherent structures, workflows or system designs.
Evaluates quality, coherence, originality, risk and operational usefulness.
Decision Formation and Appraisal Model.
DFAM transforms complex problems into explicit decision structures, scenario analysis and auditable multi-dimensional scoring.
| Evaluation dimension | What it examines | Example output |
|---|---|---|
| Ethical | Harm, dignity, consent, fairness and responsibility. | Ethical score and blocking risks. |
| Scientific | Evidence quality, assumptions and empirical validity. | Evidence confidence and missing proof. |
| Social | Stakeholder impact, access, equity and cohesion. | Impact map and affected groups. |
| Governance | Policy, regulation, accountability and auditability. | Controls and approval requirements. |
| Economic | Cost, benefit, resources, efficiency and sustainability. | Cost-benefit and implementation score. |
The model is the interface. The system is the intelligence.
Knowledge remains dynamic, memory preserves continuity, agents execute work, CFAM forms concepts, DFAM appraises decisions and verification remains mandatory.
Communication and intent parsing.
Traceable concept formation.
Auditable recommendations.
Current evidence without full retraining.
Adaptation across tasks and sessions.
Logic, fact and consistency checks.