What's new

Support page

Dedicated support hub accessible via ⌘K or the footer. Covers bug reports, feature requests, model suggestions, and direct contact — each card routes straight into the relevant feedback pipeline.

Formal model definitions

Each model now opens with a precise one-sentence definition on both the model detail page and the workspace header — a concise technical summary before you interact with the parameters.

Plan change rate limiting

Subscription plan changes are now capped at three per 24-hour window to prevent abuse. Upgrades between paid tiers are applied instantly via in-place proration — no new subscription created.

Inequity Aversion: β ≤ α constraint enforced

The Fehr-Schmidt model requires the disadvantage aversion coefficient (β) to be at most α. Sliders now auto-clamp on drag so invalid parameter combinations are no longer possible.

Invalid parameters no longer consume quota

Simulation quota is now only charged after parameters pass validation. Previously, a malformed request would burn a daily slot even if the simulation never ran.

Welcome modal

First-time visitors now see an onboarding introduction to the platform — a brief overview of what Behavioural Engines is and how to get started.

History: select & batch delete

Select one or more simulation runs from your history and delete them in a single action. Select all loaded runs at once or pick individually — numbers update immediately and deletions are permanent.

Run confirmation toasts

Live feedback toasts now confirm every key action: simulation complete, baseline pinned or cleared, comparison mode active, and export saved — with colour-coded signals (green for success, red for destructive actions).

Export filenames use custom run names

CSV, JSON, and PDF exports now save using the custom name you've given a run rather than a generic run number — making downloaded files immediately identifiable.

Hyperbolic Discounting — v1.1

Exponential discount comparison overlay added. Present bias coefficient now adjustable as a core parameter alongside the standard hyperbolic k rate.

Feedback & model suggestions

Submit general feedback, bug reports, or structured model suggestions directly from the platform — available via the account page or ⌘K. Admin notification via email on every submission.

Comparison mode & chart overlays

Pin any simulation as a baseline. Re-run with different parameters and both results appear side-by-side — dashed baseline vs solid current across all charts. Command palette (⌘K) added for instant navigation.

Subscription plans

Full plan system introduced — Free, Plus, and Pro tiers with model access gating, usage limits, and Stripe billing integration.

Model detail pages

Real-world examples and use cases added to every model detail page. Interpretations made clearer and more practical.

Presets, re-run & history search

Save and load named parameter presets per model. Re-run any past simulation directly from history. History page now searchable by model name. ⌘↵ keyboard shortcut to run simulations.

Rational Inattention model

New model: Rational Inattention (Sims, 2003). Models decision-making under costly information processing — attention is treated as a finite channel with Shannon capacity constraints.

CSV & JSON export

Export any simulation result as CSV or JSON for downstream analysis in Excel, Python, R, or custom pipelines.

Inequity Aversion model

New model: Inequity Aversion (Fehr & Schmidt, 1999). Captures how agents derive disutility from unequal payoff distributions — both advantageous and disadvantageous inequity.

Seminal papers added to all models

Every model now shows its foundational academic paper with full citation and direct DOI link on the model detail page.

Expected Utility Theory model

New model: Expected Utility Theory (von Neumann & Morgenstern, 1944). CRRA utility with adjustable risk aversion coefficient — the classical benchmark for rational decision-making under uncertainty.

Simulation history

Every run is now stored with its full parameters, results, model version, and timestamp. Browse, search, and revisit past simulations from the History page.

Structural Adoption model — v1.1

Incentive effect now uses a logarithmic diminishing returns function, making adoption responses more realistic at high incentive values.

Platform launch

Initial release with three behavioural models: Structural Adoption, Prospect Theory, and Hyperbolic Discounting. Full parameter control, deterministic simulation engine, and chart visualisations.