Follow a chain
Seven explicit states form a directional chain. Step advances exactly one state; playback uses the same transition.
Explore four interactive computational interpretations through large, visual simulations. Pause them, step through their states, change speed, inspect live metrics, or open a model fullscreen.
Enter the simulation studio ↓Each model has a distinct visual language. The color identifies the model, while the state panel explains what is happening.
Seven explicit states form a directional chain. Step advances exactly one state; playback uses the same transition.
Thesis and antithesis converge on contradiction, then move through synthesis, rule formation and algorithmic iteration.
The central object remains stable while the active projection rotates through six perspectives.
Alternatives fluctuate around an attractor; field density, attraction and feedback are explicit state variables.
A reproducible run means that the same model version, seed and transition rules produce the same discrete state sequence. It does not establish empirical validity of the underlying theory.
The four names, terminology and conceptual framing are presented as source-derived material.
Numerical state variables, transition rules, particles, trajectories, metrics and visual metaphors are software choices in this website.
These are educational simulations, not psychological tests, diagnoses, neuroscience models or validated measures of individual cognition.
A particle, score, trajectory or state label is an output of the computational model. It should not be treated as empirical evidence that the underlying framework predicts human cognition.
Viktor V. Gulenko, “Forms of Thinking”
Socionics, Mentology and Personality Psychology,
No. 4 (2002), pp. 9–25.
Publisher record ↗ · English translation ↗
This project does not claim endorsement by the author, journal or linked sites.
Reduced motion stops automatic animation. You can still advance every model manually with Step.