Seventy years of cognitive science — from Miller to Kahneman — explained how humans perceive, decide, and act. CAMP compiles those theories into executable cognitive models. Powering Anamorph today.
Cognitive science describes how humans think. It does not compute it. Seventy years of theory — written in journals, taught in lecture halls, cited in design handbooks. You can read Kahneman. You cannot run him. The science that explains human cognition has no compiler.
Formal cognitive models stay in research labs — small samples, controlled conditions, narrow scope. Scalable UX tools and A/B testing platforms generate data at speed, but with no theoretical grounding. The field is trapped: rigor or reach, Sweller or SurveyMonkey.
The designer reads Kahneman, nods — and works by intuition. The product team discusses cognitive load, then estimates it by gut feeling. No tool computes cognitive load by Sweller's formula. No platform runs Norman's Gulf of Execution as code. The theories everyone quotes are the theories nobody executes.
CAMP reverses the arrow. Cognitive theory is not a framework for thinking about design — it is source code for predicting behavior. CAMP is the compiler.
Theory → textbook → designer's intuition
Build → test on real users → learn
Cognitive science as reference
Trust the designer's interpretation
→ Theory → formal specification → executable model
→ Predict BEFORE users interact
→ Cognitive science as running code
→ Trust the formalized theory
Not a checklist of heuristics. Not a UX heuristic scanner.
A formal execution of cognitive science theory — the same theories, compiled and run.
Every cognitive model in CAMP is built from formal theory — not prompt engineering, not pattern matching, not best practices.
Predict which decisions users make fast and which they agonize over
Automatic vs. deliberate processing, cognitive biases, decision heuristics under uncertainty.
Predict when an interface overwhelms — before users feel it
Working memory limits, information chunk boundaries, processing capacity thresholds.
Predict when users settle for 'good enough' — and when they search further
Decision-making under incomplete information, satisficing thresholds, stopping rules.
Predict where users get lost between intention and result
Goal–action mapping gaps, feedback interpretation failures, error classification.
Predict how the same choice framed differently produces different behavior
How presentation changes decisions, loss aversion coefficients, reference point shifts.
Predict whether a design triggers the intended action — or fails silently
Motivation–ability–trigger interaction, behavioral activation thresholds.
Predict emotional reactions to design, messaging, and experience
Emotional valence and arousal patterns, discrete emotional responses to stimuli.
Predict which influence lever works — and which triggers resistance
Persuasion vectors: reciprocity, commitment, authority, scarcity, liking, consensus.
Predict how choice presentation shapes decisions without restricting them
Default effects, option framing, libertarian paternalism mechanisms.
13 services. Each rooted in theory. Products consume these services in different combinations.
Simulates information processing load on an interface. Predicts overload before users experience it.
Maps the gap between user goals and available actions. Identifies where users will get lost.
Detects friction points and predicts error patterns. Not heuristic opinion — formal error taxonomy.
Predicts task completion time from interface layout. Calibrated against empirical benchmarks.
Evaluates whether a design triggers the target behavior. Motivation, ability, and trigger — formalized.
Models when users switch between automatic and deliberate processing.
Evaluates persuasion effectiveness. Central vs. peripheral route prediction.
Analyzes how choice presentation affects decisions. Default effects, framing, option architecture.
Models emotional valence and arousal in response to design and messaging.
Predicts what users will retain, when they will forget, and how learning transfers.
Models how social proof, conformity, and observational learning shape decisions. Bridge to EDMP.
Readiness Assessment & Calibration. Scores every analysis against five factors. The trust layer.
Aggregates all service outputs into a final verdict: PROCEED, REVISE, or RETHINK.
Five levels of validation, applied specifically to this platform. Honest reporting of where we stand.
Reconstructive Validation
Reproduce known usability outcomes from published studies
Mechanistic Grounding
Each Heuristica model traces directly to its theoretical source
Behavioral Plausibility
UX researchers and cognitive scientists recognize outputs as realistic
Structural Validity
Cognitive load patterns preserved across interface types
Statistical Fidelity
Predicted distributions match observed user behavior distributions
CAMP is in production. Heuristica models are formalized from peer-reviewed cognitive science. Calibration data and validation results are documented on the Anamorph product page.
CAMP powers Anamorph today. Every assessment it generates is traceable to the theoretical model that produced it. That is the glass box promise.
CAMP powers any product that needs to model how humans think.
Decision-ready UX assessment. Upload a design mockup, receive a structured report with a calibrated verdict — before a single user sees your interface.
Creative impact prediction. Test messaging, campaigns, and creative concepts on computed audiences grounded in social theory — before spending budget.
Universe in your pocket. Personal transformation through dialogue, rituals, and daily practices — powered by all three Quantumeon platforms: sociology, cognition, and emergence.
Model how learners encode, retain, and retrieve information. Predict where instruction fails and where cognitive load peaks.
Choice architecture audits and behavioral intervention design. Model default effects, framing, and nudge effectiveness with formal theory.
Predict how patients process medical information, navigate healthcare interfaces, and make treatment decisions.
Predict how audiences process messaging, evaluate persuasion routes, and anticipate emotional response — before spending budget.
