Embedded Files
Gain Access to Git Hub Repository :
v1 — Baseline Cultural–Linguistic Model
v1 — Baseline Cultural–Linguistic Model
Purpose: Establish a minimal, controllable starting point.
v1 introduces the foundational cultural–linguistic mapping used across VerbaTerra. At this stage, a small set of cultural parameters (ritual intensity, trade openness, symbolic density, and social hierarchy) are mapped to basic linguistic outputs such as vocabulary growth and structural simplicity. The goal is not realism, but calibration—ensuring the simulation behaves predictably and responds consistently to parameter changes.
This version functions as a sanity check for the core logic and is used primarily for orientation and validation of assumptions.
v2 — Dynamic Interaction & Drift
v2 — Dynamic Interaction & Drift
Purpose: Move from static mapping to temporal behaviour.
v2 extends the baseline model by introducing time-based evolution. Cultural parameters are allowed to drift, interact, and compound across simulation steps. Linguistic features now evolve dynamically rather than being computed once.
This version demonstrates how small cultural shifts accumulate into observable linguistic divergence over time, making it suitable for early experimentation with cultural momentum and slow structural change.
v3 — Shock Events & Adaptive Response
v3 — Shock Events & Adaptive Response
Purpose: Test resilience under stress.
v3 adds external shock mechanisms—such as migration surges, trade collapse, ritual disruption, or symbolic overload. These events perturb the system and force adaptive responses in both culture and language.
This version is critical for observing failure modes, recovery patterns, and adaptation pathways. It marks the point where CALR logic becomes operational rather than theoretical.
v4 — Metric Integration & Comparative Analysis
v4 — Metric Integration & Comparative Analysis
Purpose: Make outcomes measurable and comparable.
v4 introduces analytical instrumentation, including NLIS and CRM, allowing simulation outputs to be scored, compared, and clustered. Multiple runs can now be analyzed side-by-side to detect patterns, correlations, and directional tendencies.
This version transitions VerbaTerra from a simulator to an analytical system, enabling structured comparison across cultures, scenarios, and parameter regimes.
v5 — Reproducible Experimental Pipeline
v5 — Reproducible Experimental Pipeline
Purpose: Enable structured experimentation and public use.
v5 consolidates all prior components into a reproducible experimental workflow. Parameters, shocks, metrics, and outputs are fully traceable, allowing users to design experiments, rerun scenarios, and export results with interpretability intact.
This version represents the minimal viable research environment for VerbaTerra—suitable for tutorials, demonstrations, audits, and external collaboration.
Ending Notes:
The systems presented on this page are intended as demonstrative research instruments, not finalized claims about linguistic or cultural reality. All outputs should be interpreted as model behavior under explicit assumptions, parameterizations, and constraints defined by the vSION architecture.
Each engine version reflects a deliberate design trade-off between simplicity, expressiveness, and interpretability. Earlier versions privilege transparency and calibration; later versions prioritize robustness, comparability, and reproducibility. None are presented as complete or exhaustive representations of human language or culture.
Users are encouraged to:
Treat results as hypothesis-generating, not definitive conclusions
Inspect assumptions before interpreting outcomes
Compare across versions rather than privileging a single run
Replicate experiments prior to extrapolation
VerbaTerra is built with an explicit research ethic: clarity over spectacle, structure over intuition, and traceability over convenience. If a result cannot be explained in terms of model structure, it should not be trusted.
This platform will continue to evolve. Architectural changes, metric refinements, and experimental extensions are expected and documented as part of the project’s open research lifecycle.
Proceed critically. Document carefully. Let the system earn its conclusions.
Page updated
Google Sites
Report abuse