Interactive explainers

Labs

Change inputs and inspect precomputed exact or synthetic models. Every Lab works without an external API and keeps its evidence boundary close at hand.

Interactive models

Interactive model · Search and allocation

Threshold

Move across all eight exact minimum-team rows in the canonical phase diagram.

What can I change?: Minimum viable team
What will I see?: Exact discovery, viability, and crowding metrics
Supported by: DD-016

Open Lab

Technical details

DD-C-0074 · Reproducible evidence

Interactive model · Search and allocation

Equilibrium selection

Inspect all 160 exact games without collapsing best, worst, or stable equilibria.

What can I change?: Posterior fixture, team size, and threshold
What will I see?: Planner value, equilibrium range, multiplicity, and stability
Supported by: DD-017

Open Lab

Technical details

DD-C-0077 · Reproducible evidence

Interactive model · Information and sources

Evidence Acquisition

Compare common and independent evidence sources in the registered two-agent source-choice fixture.

What can I change?: Evidence source
What will I see?: Acquisition and discovery outcomes
Supported by: DD-008

Open Lab

Technical details

DD-C-0051 · Reproducible evidence

Interactive model · Information and sources

Attention

Explore exact access-gated attention profiles, payoffs, equilibria, and rewards.

What can I change?: Team, accuracy, attenders, and reward
What will I see?: Discovery, payoffs, equilibria, and attention wedges
Supported by: DD-012

Open Lab

Technical details

DD-C-0060 · Reproducible evidence

Interactive model · Information and sources

Dynamic attention

Explore every exact dynamic objective row and separate planner from autonomous behavior.

What can I change?: Team size, private/shared accuracy, and stopping objective
What will I see?: Planner, autonomous, private, and history-hidden outcomes
Supported by: DD-015

Open Lab

Technical details

DD-C-0080 · Reproducible evidence

Interactive model · Information and sources

Incremental sharing

Separate marginal aggregation gain from lost independent rescue across exact point and channel profiles.

What can I change?: Targets, agents, point accuracy or channel, and sharing step
What will I see?: Pooled accuracy, discovery, aggregation gain, lost rescue, net increment, and profile
Supported by: DD-020

Open Lab

Technical details

DD-C-0094 · Reproducible evidence

Interactive model · Information and sources

General sharing frontier

Compare exact error contraction, sharing regimes, and centralized action-budget recovery across all 177 registered scenarios.

What can I change?: Channel family, targets, agents, parameter, sharing step, and action budget
What will I see?: Error contraction, discovery, sharing regime, consensus class, and recovery budget
Supported by: DD-021

Open Lab

Technical details

DD-C-0097 · Reproducible evidence

Interactive model · Information and sources

Coordination-free positive sharing

Compare private and posterior-only shared symmetric equilibria across all 42 exact cells while preserving selection dependence.

What can I change?: Signal accuracy, dependence, information regime, and baseline
What will I see?: Selected strategy, posterior, discovery, payoff, diversity, gain, and implementation gap
Supported by: DD-022

Open Lab

Technical details

DD-C-0106 · Reproducible evidence

Interactive model · Incentives and mechanisms

Team mechanisms

Compare all 50 exact mechanism-fixture rows across distinct implementation concepts.

What can I change?: Posterior fixture and mechanism
What will I see?: Discovery, obedience, stability, budget, and multiplicity
Supported by: DD-018

Open Lab

Technical details

DD-C-0084 · Reproducible evidence

Data explorers

Data explorer · Search and allocation

Sequential Discovery

Compare registered batch schedules; terminal discovery is held separate from actions and rounds.

What can I change?: Batch schedule
What will I see?: Actions, rounds, and terminal discovery
Supported by: DD-004

Open Lab

Technical details

DD-C-0045 · Reproducible evidence

Data explorer · Incentives and mechanisms

Mechanisms and Incentives

Explore the joint proper-score, observable-action, and subsidy frontier; no arbitrary-transfer conclusion is implied.

What can I change?: Family, observability regime, named row, and tie role
What will I see?: Incentive and discovery boundaries
Supported by: DD-006B

Open Lab

Technical details

DD-C-0053 · Reproducible evidence

Data explorer · Measurement and experiments

Audit and Calibration

Examine synthetic recovery and the provenance conditions needed for interpretation.

What can I change?: Copying rate, missingness, matching error, and sample size
What will I see?: Recovery and calibration behavior
Supported by: DD-007

Open Lab

Technical details

DD-C-0049 · Reproducible evidence

Data explorer · Measurement and experiments