PRISM Computational Studies - GB-C III: Completing the Event-Drift Architecture: Developmental Recurrence, Subject Persistence, and Drift Dynamics in General Behavior Calculus
PRISM Computational Studies - GB-C III: Completing the Event-Drift Architecture This work presents the third study in the PRISM Computational Studies series and the first operational implementation of the complete Event-Drift Architecture described by General Behavior. The study extends earlier investigations of meaning formation and behavioral organization by implementing the developmental components required for persistent subject evolution, including Behavioral Selection, Event Impact, Interval-State Evolution, Cumulative Impact, Elasticity and Restoration, Internal-State Drift, and Affinity Drift. The completed architecture enables persistent developmental recurrence through the canonical relationship C → B → S → C, allowing behavioral outcomes to generate consequences, consequences to alter state, state to accumulate into developmental history, and historical influence to participate in future development. Long-duration operation revealed several emergent developmental dynamics including elasticity collapse, historical-aging requirements, reinterpretation of elasticity as resilience, Affinity stabilization, and Signal Ecology effects. Comparative trajectory analysis demonstrated persistent developmental differentiation between the Tomato and Embodied Observational Researcher (EOR) subject profiles despite identical observations, mathematical foundations, and runtime architecture. Both subjects progressed through developmental organization while exhibiting distinct developmental pathways and capacity-development patterns. The study establishes the first operational developmental architecture derived from General Behavior Calculus and provides a computational foundation for future work in embodiment, developmental persistence, subject differentiation, developmental ecology, primitive learning, and long-duration adaptive systems.
Authors
- Connor Zaichkowski (ORCID: https://orcid.org/0009-0001-1637-407X)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-01
- DOI
- https://doi.org/10.5281/zenodo.23854111
- Primary Topic
- Psychiatry, Mental Health, Neuroscience
- Type
- preprint