Cognition
Research into cognitive organisation, regulation, behaviour and variation, including work on ADHD and broader cognitive architecture.
Explore Cognition →Riff Systems · Founded by Tristan Radford
I develop large-scale conceptual architectures, research frameworks and practical tools for investigating complex systems across domains.
My work spans cognition, human–AI behaviour, systems architecture, adaptive organisation, empirical research and applied tool development. Only a selected portion of the wider research programme is public.
Public Research Surface
This site presents selected frameworks, papers, empirical investigations, domain work and tools from the broader Riff Systems research programme that are ready for public examination.
Much of the underlying body of work remains private by design, including unfinished research and IP-sensitive systems intended for later development or release.
Research Topics
These gateways connect broader questions in established research areas to the relevant Riff Systems papers and empirical results.
When does persistence, recovery or ecological memory support a stronger claim of adaptive modification?
02What can decodability, activation intervention and prospective interpretation each establish?
03How should cognitive load, offloading and stress-like instability be described without collapsing distinct mechanisms?
04Declared boundaries, frozen criteria, strong nulls, causal tests and preservation of negative results.
Selected Work
These areas are representative, not exhaustive. They show how the work moves between cognition, systems, interaction, empirical research and practical implementation.
Research into cognitive organisation, regulation, behaviour and variation, including work on ADHD and broader cognitive architecture.
Explore Cognition →Research into behavioural, cognitive and relational structures that emerge through sustained interaction between humans and artificial intelligence.
Explore Human–AI Systems →Cross-domain architectures, ontologies, structural models and relational methods for representing and comparing complex systems.
Explore Systems Architecture →Selected work on coherence, regulation, persistence, retained modification and adaptation across different substrates.
Explore Adaptive Systems →Tests designed to expose formal ideas to real data, conventional explanations, uncertainty, falsification and explicit failure criteria.
View Research →Practical systems and research instruments derived from parts of the wider architecture. Some remain private while development and IP strategy are ongoing.
Explore Tools →How I Work
Start beneath the disciplinary label: boundaries, relationships, organisation, behaviour, coherence, identity, pressure and change.
Convert intuition into definitions, frameworks, models, diagnostics or formal decision rules that can be inspected.
Freeze important choices, use strong conventional explanations, report negative results and distinguish prediction from causation.
Translate useful architecture into methods, software, research instruments and applied tools where the work supports implementation.
Empirical Research
The empirical strand is not the whole research programme. It is one way I test whether selected components remain coherent when applied to real systems.
NEW · Empirical publication · Forest F1
Forest F1 applies one frozen ACF classifier across six heterogeneous forest systems to test whether apparent adaptation can be distinguished from resilience, ecological memory, retained damage, filtering, ordinary recovery and continuing external forcing.
The cases reached different evidential depths under the same six-gate sequence. No completed case currently establishes forest-level adaptive modification, while one preregistered case remains unexecuted because the decisive raw data are not publicly accessible.
Current result
No completed case establishes forest-level adaptive modification.
Publication
Forest F1 · v1.0 · 4 October 2026 · interim results
The result is discriminative rather than simply negative: different forest systems stop at different causal gates without changing the ACF ontology or evidential rules.
Recent empirical publication · NBS-001 / NBS-002
A controlled empirical NBS study tested whether a TRAIN-derived evaluative-valence direction could survive structural controls, exert a selective causal effect, and support a prospectively specified human-readable interpretation on fresh data.
NBS-001 was rejected after a tokenisation confound was detected. NBS-002 then passed the controlled structural and causal stages, while the frozen fixed-coordinate interpretation criterion failed on independently generated descriptors and templates.
Confirmatory endpoint
STRUCTURAL_PASS → CAUSAL_PASS → INTERPRETATION_FAIL
Publication
NBS-001 / NBS-002 · v1.0 · 26 September 2026
The result preserves the separation between structural decodability, causal efficacy of an imposed displacement, and transfer of a fixed human-readable coordinate. The failed interpretation criterion remains the frozen confirmatory endpoint.
Completed empirical test · Titan T1
The first completed empirical test applied one substrate-independent diagnostic from the wider systems work to a real planetary dataset using Cassini/CIRS observations.
An initially promising HCN prior-state signal survived several intermediate analyses before failing the strongest seasonal, regional and circulation controls under strict out-of-sample validation.
Result
Adaptive modification was not established.
Classification
History-dependent regulatory planetary atmosphere.
The purpose was not to prove Titan adaptive or alive. The value of the study was that the diagnostic produced a non-trivial result while preserving the distinction between complex physical memory and adaptive modification.
Future independent test
Atmosphere + surface methane/hydrocarbon boundary. T2 will be independently specified and cannot retrospectively alter the Titan T1 result.
Future independent test
Atmosphere + surface + relevant subsurface boundary, independently preregistered and tested when the required evidence and methods are ready.
Research Library
Public documents are separated by type and status so that completed results, developing frameworks and exploratory work are not confused.
NEW · Empirical ACF study
Forest F1 · six-case empirical stress test · interim results.
Behavioural framework
A behavioural framework for presleep cognitive offloading and dream-state hyperprocessing in ADHD.
Foundational ACF framework
Definitive consolidated conceptual/formal paper.
Empirical test
Titan T1 · atmosphere-only boundary.
Conceptual paper
Why AI Behaviour Under Load Can Resemble Human Cognitive Instability.
Empirical NBS study
NBS-001 / NBS-002 · controlled structural, causal and interpretation sequence.
Foundational NBS paper
A proposed field-level research programme for the study of semantic organisation in artificial systems.
Research Principles
What I propose, what the data support and what remains unknown are not the same thing.
Where practical, boundaries, variables and failure conditions are specified before decisive tests.
Interesting results should survive simpler explanations before stronger interpretations are accepted.
A method that can only confirm its creator is not being tested seriously.
Corrections, versions and superseded work should remain traceable rather than silently overwritten.
Publication is selective. Some work remains private because it is unfinished, sensitive or IP-relevant.
Tools & Applied Systems
Parts of the research programme are intended to become practical systems for analysis, reasoning, interaction, research and applied decision support.
Some tool development remains private and IP-sensitive. Selected tools will be released publicly when they are technically mature and strategically ready.
Future Tools →Collaboration & Research Support
I am open to conversations with researchers, technical specialists, universities, laboratories, funders and organisations where there is a clear fit with selected public work.
Areas of potential collaboration include independent replication, domain-specialist review, data access, computational modelling, research tooling and tightly scoped empirical studies.
I am particularly interested in partnerships that contribute specialist expertise, technical capability or infrastructure through clearly defined areas of collaboration, while allowing the underlying private research architecture to remain protected.
About
Independent Cross-Domain Research & Systems Development
Tristan Radford is a Cross-Domain Cognitive Systems Architect and independent researcher. He develops behavioural frameworks, causal methods and empirical tests across cognition, adaptive systems, artificial representations and complex systems, using cross-domain comparison to separate superficially similar behaviours by their evidence and underlying mechanism.
Read the Full About Page →About the Programme
No. Riff Systems is the public surface of a broader body of work. Some research remains private because it is unfinished, sensitive or IP-relevant.
Public empirical work now includes Titan T1, the NBS-001 / NBS-002 controlled valence study, and Forest F1, a six-case empirical stress test of the Adaptive Coherence Framework. Titan T2 remains a future independently specified test.
No. It is one formal component within a much larger cross-domain systems architecture. Its life/adaptation diagnostic is a small application inside that work.
Public Research Record
Six heterogeneous forest systems were evaluated under one frozen ACF gate sequence. No completed case currently establishes forest-level adaptive modification; different cases stop at different evidential gates and one preregistered case remains unexecuted because decisive raw data are not publicly accessible.
PUBLISHED · INTERIM RESULTS · FOREST F1 v1.0
Controlled structural, causal and interpretation sequence completed in Pythia-70M. NBS-001 failed its tokenisation control; NBS-002 passed structural and causal criteria before the frozen fixed-coordinate interpretation criterion failed on fresh data.
PUBLISHED · STRUCTURAL_PASS · CAUSAL_PASS · INTERPRETATION_FAIL
First completed empirical test. Candidate HCN prior-state signal identified, challenged with progressively stronger controls and rejected as evidence of adaptive modification.
COMPLETED · RESULT RECORDED · T1 FROZEN
Multiple research, architectural and tool-building programmes continue beyond the work currently released here.
ACTIVE