{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"catalytic_pathway_enablement__futurism_foresight","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_id":"cp-fs-scenario-rehearsal-bed-003","proposal_index":3,"version":0,"title":"Reusable Scenario-Rehearsal Bed for Port Contingency Decisions","problem":"A port authority can approve plural long-range disruption scenarios, yet converting each scenario narrative into an operational rehearsal requires staff to reconstruct role boundaries, decision points, event injects, timing, data displays, safety constraints, observation methods, and after-action formats. The transformation from an approved scenario to evidence about how existing contingency decisions behave is feasible and permitted, but repeated exercise setup can consume the available preparation window before a rehearsal occurs.","actors":["Strategic-foresight staff who maintain approved scenarios","Harbor operations, engineering, security, logistics, communications, environmental, and commercial staff who enact assigned roles","An exercise-design team that stewards the reusable rehearsal bed","Observers who record decision and coordination behavior","Information-security, safety, legal, labor, and accessibility officers who protect participants and sensitive systems","Port executives and the harbor master who retain operational authority"],"observable_state":"Candidate state to verify: approved scenarios accumulate without a corresponding rehearsal record; preparation logs show repeated construction of role sheets, inject sequences, data displays, decision logs, safety reviews, and after-action forms; planned exercises are narrowed or deferred when setup effort exceeds the available window; and scenario reviews record opinions about preparedness without time-stamped evidence of decisions, handoffs, threshold interpretations, or recovery actions. Observable measures include setup hours, elapsed time from scenario approval to rehearsal, completed cycles, participant burden, inject failures, decision-log completeness, safety exceptions, and unresolved findings awaiting owners.","consequence":"The port may possess plausible scenario narratives without knowing whether contingency roles, escalation thresholds, information handoffs, or decision rules remain coherent when disruptions interact. Commissioning more scenarios can enlarge the unrehearsed inventory, while hastily assembled exercises can expose sensitive vulnerabilities, confuse participants, or produce findings that reflect exercise-design defects rather than the plans being tested.","affected_objective":"Convert selected long-range scenarios into bounded, auditable evidence about contingency decision behavior while preserving operational authority, safety, labor protections, confidentiality, scenario plurality, and the distinction between rehearsal performance and real-world readiness.","intervention":"Build a fixed, modular Scenario-Rehearsal Bed through which eligible scenario slices can pass. The reusable facilitator consists of governed role stations, a versioned inject controller, synthetic data interfaces, standardized decision and handoff logging, observation points, and a resettable exercise environment. A scenario enters through a compatibility contract specifying the decision scope, participating functions, simulated assets, uncertainties, protected information, stop conditions, and intended evidence. Stewards configure approved modules rather than designing an exercise from zero; the rig presents timed events and information asymmetries, captures decisions and handoffs, and releases a rehearsal dossier containing observed breakdowns, unresolved assumptions, and assigned follow-up questions. Participants, current contingency plans, synthetic data, facilities, and observer attention are explicit cofactors. After each run, case data are sealed, modules are reset, defects are separated from plan findings, participant recovery occurs, and the bed is tested before accepting another scenario.","structural_mapping":[{"archetype_element":"Target transformation specification","domain_realization":"Transform one eligible, approved scenario slice plus its current contingency rules into a rehearsal dossier containing time-stamped decisions, information handoffs, threshold conflicts, coordination failures, recovery actions, unresolved assumptions, and evidence limitations."},{"archetype_element":"Activation barrier","domain_realization":"Every scenario otherwise requires bespoke exercise architecture, role translation, inject authoring, data simulation, safety review, observation design, logging, and after-action setup before operational learning can begin."},{"archetype_element":"Reusable facilitator","domain_realization":"A fixed modular rehearsal environment repeatedly configures, presents, observes, and releases scenario cases while remaining separate from participants and outputs and returning to a verified ready state after reset."},{"archetype_element":"Facilitator distribution topology","domain_realization":"Role, inject, logging, and observation capacity is immobilized at a governed exercise interface; different scenario cases flow through the same stations rather than rebuilding the infrastructure around each case."},{"archetype_element":"Facilitator–substrate interface","domain_realization":"An admission contract requires an approved scenario boundary, defined decisions to exercise, current role and escalation documents, synthetic-data plan, confidentiality class, participant list, accessibility needs, protected constraints, stop conditions, and a named findings owner."},{"archetype_element":"Permitted pathway boundary","domain_realization":"The bed may rehearse authorized decisions using synthetic or isolated conditions. It may not control live port systems, issue operational orders, simulate prohibited conduct, evaluate individual employment performance, waive safety or labor rules, or treat a rehearsal outcome as authorization for policy change."},{"archetype_element":"Selectivity rule","domain_realization":"Only bounded scenarios compatible with available modules, current contingency documents, isolated data, participant protections, and downstream findings capacity enter. Live crises, personnel investigations, unresolved labor disputes, uncontained cyber activity, and scenarios requiring unsafe realism are rerouted."},{"archetype_element":"Contact-time window","domain_realization":"Each admitted case receives a predeclared configuration period, exercise duration, pause allowance, and debrief window sufficient to expose selected decisions without unnecessarily occupying participants or encouraging improvisation outside the scenario boundary."},{"archetype_element":"Cofactor map","domain_realization":"The facilitator requires prepared participants, current plans, synthetic data, accessible facilities, observer attention, safety coverage, protected debrief time, and owners able to receive findings. Their availability and consumption are reported separately from the bed's reuse."},{"archetype_element":"Turnover capacity model","domain_realization":"Capacity is expressed as completed valid scenario cycles per ready rehearsal bed and period, alongside configuration hours, station occupancy, participant hours, exception load, reset time, module failures, observer capacity, facilitator degradation, and the backlog of findings awaiting disposition."},{"archetype_element":"Saturation and interference monitoring","domain_realization":"A live board distinguishes demand saturation from rig degradation by showing queued scenarios, module conflicts, facilitator and observer occupancy, participant availability, inject latency, logging failures, safety interruptions, reset status, and unresolved downstream findings."},{"archetype_element":"Inhibition and poison controls","domain_realization":"Outdated contingency plans, contaminated live data, ambiguous exercise authority, participant conflicts, adversarial employment use, unbounded realism, inaccessible materials, scenario advocacy, and unpatched module defects are screened before admission."},{"archetype_element":"Facilitator regeneration cycle","domain_realization":"After each exercise, the steward closes case access, preserves authorized records, removes scenario-specific state, distinguishes rig defects from plan findings, repairs modules, rotates or rests facilitators and observers, verifies synthetic-data isolation, runs test injects, and reauthorizes or retires degraded components."},{"archetype_element":"Byproduct and side-pathway guardrail","domain_realization":"Monitoring covers disclosure of vulnerabilities, participant distress, blame attribution, false confidence, scenario conformity, exercise gaming, unsafe improvisation, systematic logging error, facilitator fatigue, and a findings backlog that exceeds remediation capacity."},{"archetype_element":"Equilibrium neutrality","domain_realization":"The bed changes the cost and repeatability of rehearsal; it does not make a scenario more probable, make an infeasible response feasible, prove real-world readiness, supply missing operational resources, or change who may command the port."},{"archetype_element":"Accountable catalyst steward","domain_realization":"The exercise-design lead owns admission, module integrity, capacity, participant protections, records, incident response, reset verification, succession, and retirement. Operational leaders retain authority over plans and real events, while labor and safety officers retain their protective powers."}],"mechanism_mapping":[{"mechanism_slug":"heterogeneous_catalyst_bed","role":"Realizes the fixed topology: modular role, inject, logging, and observation capacity remains at a stable interface while successive scenario cases pass through, enabling separation, reuse, and controlled reset.","counterfactual_removal":"Without the fixed bed, the authority would reconstruct the exercise environment around every scenario, leaving the recurring setup barrier largely intact."},{"mechanism_slug":"interface_contract_design","role":"Declares scenario preconditions, exercise outputs, safety invariants, authority limits, records treatment, module compatibility, and release conditions.","counterfactual_removal":"Without the contract, scenario scope and protections would be negotiated during configuration, consuming facilitator capacity and allowing unsafe or ill-formed cases into the bed."},{"mechanism_slug":"workflow_automation_or_macro","role":"Loads approved scenario parameters, schedules injects, checks acknowledgments, time-stamps decisions and handoffs, validates log completeness, and preserves an audit trail without making operational judgments.","counterfactual_removal":"Without repeatable execution and logging, facilitators would manually coordinate each event and reconstruct the decision trace afterward, increasing effort and attribution error."},{"mechanism_slug":"catalyst_cofactor_system","role":"Maps and checks the current plans, participants, synthetic data, facilities, observers, safety coverage, accessibility support, and findings ownership needed for the bed to function.","counterfactual_removal":"Without cofactor sufficiency checks, the bed could appear ready while missing the people, plans, data, protections, or downstream capacity required for a valid rehearsal."},{"mechanism_slug":"inhibitor_and_poison_screen","role":"Screens incoming scenario packages and operating conditions for live-data contamination, obsolete plans, authority ambiguity, unsafe realism, employment conflicts, accessibility failures, and known module defects.","counterfactual_removal":"Without upstream screening, an incompatible case could corrupt findings, harm participants, disclose vulnerabilities, or leave the reusable environment unsafe for later cycles."},{"mechanism_slug":"active_site_capacity_dashboard","role":"Shows queued scenarios, module and station occupancy, facilitator and observer availability, participant burden, inject and logging health, safety events, reset state, and downstream findings load.","counterfactual_removal":"Without joint visibility, operators could schedule beyond active capacity, mistake a broken module for poor participant performance, or accelerate exercises into an unresolved findings backlog."},{"mechanism_slug":"catalyst_regeneration_protocol","role":"Closes each case, removes scenario state, services modules, restores participant and facilitator capacity, tests isolation and inject behavior, reauthorizes recovered components, and retires those that cannot regain integrity.","counterfactual_removal":"Without verified regeneration, residual case data, cumulative facilitator fatigue, or degraded modules could distort successive exercises while the bed remained nominally available."},{"mechanism_slug":"turnover_and_selectivity_assay","role":"Measures valid rehearsal cycles per bed together with configuration burden, decision-log quality, rig-attributable errors, scenario leakage, safety events, participant burden, degradation, and performance against bespoke tabletop preparation.","counterfactual_removal":"Without the assay, shorter setup could be credited to catalytic reuse even if exercises became narrower, less safe, poorly logged, or dependent on proportional hidden preparation."},{"mechanism_slug":"small_safe_to_fail_probe","role":"Tests the bed across a bounded sequence of synthetic, non-operational scenario slices with an equal-resource baseline and precommitted safety, quality, recovery, and rollback criteria.","counterfactual_removal":"Without a contained counterfactual probe, common-mode module, logging, authority, or participant-safety failures could first surface during a consequential rehearsal."}],"causal_chain":["Foresight staff submit an approved scenario slice and current contingency rules through the rehearsal-bed interface.","The steward screens legitimacy and compatibility and confirms participant, plan, synthetic-data, safety, observer, accessibility, and findings-ownership cofactors.","Approved scenario parameters are configured into existing modules instead of requiring a new exercise architecture.","During a bounded residence window, the fixed role stations and inject controller expose selected decisions and information asymmetries while the logging layer captures responses and handoffs.","Observers distinguish plan behavior, participant interpretation, and rig defects; invalid runs are stopped or repeated rather than converted into findings.","The bed releases a bounded dossier of observed decision traces, coordination failures, assumptions, limitations, and follow-up questions without issuing operational conclusions.","Case-specific state is sealed or removed, modules and people recover, test injects verify readiness, and the same bed becomes available for another compatible scenario.","Capacity and selectivity data govern further admissions; module drift, participant harm, disclosure, unsafe side paths, or downstream overload trigger load reduction, bypass, or deactivation."],"baseline":"The credible baseline is a bespoke tabletop exercise or facilitated scenario-review meeting built independently for each scenario. Staff create role sheets, injects, synthetic evidence, observation forms, timing, safety controls, and after-action notes case by case. Comparison must hold scenario complexity, participating functions, preparation and exercise time, facilitator access, safety rules, information sensitivity, and downstream authority constant. Measures include elapsed and staff setup time, participant burden, completed valid exercises, inject and logging failures, decision-trace completeness, observed handoffs, safety incidents, disclosure events, rig-attributable findings, rework, recovery time, and the disposition backlog.","nearest_rivals":["Commission an external exercise designer for every scenario: this supplies case-specific labor but does not create a separable, locally regenerating facilitator with measurable repeated turnover.","Construct a high-fidelity digital twin: this may model selected physical or logistical behavior but requires a different resource commitment and does not by itself rehearse cross-functional authority, communication, and interpretation.","Hold additional scenario-planning workshops: these can refine narratives but do not necessarily transform approved scenarios into observed decision and handoff traces.","Run occasional full-scale live drills: these may provide greater realism but carry different safety, cost, scheduling, and operational constraints and are not a lower-barrier path for repeated bounded cases.","Adopt a universal readiness checklist: this standardizes self-reporting but does not present evolving conditions, record decisions, regenerate an exercise interface, or distinguish declared procedures from enacted coordination.","Add permanent exercise staff: this expands bulk preparation capacity but does not itself replace bespoke construction with a reusable selective pathway."],"remaining_contrastive_claim":"The proposal's testable contrast is that a fixed, resettable rehearsal bed can repeatedly convert compatible scenario slices into valid decision-behavior evidence with less recurring setup reconstruction while holding safety, scope, participant protections, logging quality, and decision authority constant. The catalytic interpretation fails if apparent gains require proportional bespoke design, depend on easier scenarios, reduce realism below the stated validity boundary, shift work to participants or observers, weaken protections, or cannot be reproduced after reset.","authority_safety":{"decision_authority":"The foresight director and exercise-design lead may jointly authorize and stop a synthetic, non-operational probe. The exercise controller may issue simulated injects and pauses only inside the isolated environment. Safety, labor, information-security, and records officers retain their protective authority. The harbor master and port executives alone retain authority over live operations, contingency plans, expenditures, external communications, and policy.","authorized_first_step":"Run a counterbalanced shadow probe using two previously approved but non-live scenario slices and two comparable volunteer teams. Each team completes one modular-bed rehearsal and one equal-duration bespoke paper tabletop in opposite order. Use synthetic data, isolate all systems, cap each exercise at ninety minutes, cap preparation and debrief time, reuse the same bed for both modular cycles, and prevent findings from entering operational plans until separately reviewed under ordinary authority.","excluded_actions":["Connecting the rehearsal bed to live control, navigation, security, communications, personnel, commercial, or emergency systems","Issuing or simulating an instruction that participants could reasonably mistake for a live operational order","Using individual performance, hesitation, health information, or exercise errors for employment evaluation or discipline","Waiving safety, labor, accessibility, privacy, records, cybersecurity, environmental, or command requirements","Publishing vulnerabilities, participant identities, decision traces, or scenario details outside the authorized review group","Treating probe findings as proof of readiness or automatically changing a contingency plan, threshold, budget, contract, or operating policy","Increasing realism, participant scope, exercise volume, data access, or downstream use beyond the approved probe"],"halt_rollback":"Stop immediately for live-system contact, mistaken operational activation, injury or distress, sensitive-data exposure, identity misuse, labor or accessibility breach, uncontrolled exercise behavior, invalid logging, module behavior outside the approved scenario, or inability to distinguish rig failure from plan behavior. Announce exercise termination through the prebriefed channel, isolate the bed, revoke case access, quarantine findings, preserve only authorized incident records, provide participant support, and return future work to the bespoke baseline. Restart requires documented cause removal, successful isolation and test-inject checks, participant-protection review, and fresh authorization."},"negative_tests":{"strongest_counterevidence":"A process audit shows that exercise architecture is not the rate-limiting barrier: reusable materials already exist, while rehearsals fail to occur because leaders will not release participants, scenario owners cannot identify decisions to test, findings have no remediation owners, or operational conflicts prevent scheduling. A rehearsal bed would then create additional infrastructure without enabling the blocked transformation.","problem_falsifier":"The problem is falsified if approved scenarios rarely require operational rehearsal, scenario cases share too little structure for module reuse, bespoke setup is not a material part of elapsed time or effort, existing rehearsals already produce complete decision traces, or the desired evidence cannot be generated safely outside live operations.","intervention_falsifier":"The intervention is falsified if matched modular cycles do not reduce the targeted reconstruction burden; require equivalent bespoke configuration; produce more rig-attributable errors, disclosure risk, participant burden, unsafe behavior, missing decision traces, or false confidence than the baseline; fail to expose relevant decisions; overload findings owners; or cannot return to a verified ready state for the second cycle.","risks":["Fixed modules may channel participants toward familiar disruptions and suppress unanticipated scenario dynamics.","Participants may learn to perform for the rig rather than reveal how ordinary coordination would work.","Synthetic data or compressed timing may produce behavior that does not transfer to real conditions.","Exercise findings may be misused to blame or evaluate individuals instead of examining systems.","Sensitive operational vulnerabilities may be exposed through injects, logs, observations, or debriefs.","An automation or logging defect may scale across exercises and manufacture a common false finding.","Facilitators, observers, or frequently selected participants may become saturated or exhausted.","Scenario sponsors may configure the bed to validate a preferred plan or suppress inconvenient failure paths.","A polished rehearsal dossier may create false confidence about feasibility, resources, or readiness.","Accessibility, language, shift, contractor, or labor constraints may exclude roles essential to real coordination.","Completed exercises may outpace the port's ability to investigate and remediate findings.","Residual case state may contaminate later exercises or disclose one team's decisions to another."]},"next_evidence_step":"Before either team enters the probe, freeze the two scenario slices, assignment order, modular and bespoke procedures, participant and preparation caps, isolation architecture, synthetic datasets, protected constraints, observer rubric, attribution rules, and pass, halt, reset, and retirement criteria. Record setup and elapsed time, staff and participant touch time, cofactor gaps, inject delivery, decision and handoff capture, observer agreement, safety and disclosure events, participant burden, rig-attributable defects, findings requiring rework, reset effort, test-inject results, and downstream reviewer assessment. Evaluate the second modular run separately to determine whether the same facilitator actually turned over after regeneration; bound any conclusion to the tested scenario class, modules, participants, and synthetic conditions.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"This proposal is independently adoptable and materially distinct from both earlier proposals. Proposal 1 transforms raw horizon-scan dossiers into standardized implication cards through a versioned informational kernel; its barrier is repeated evidentiary and interpretive reconstruction, and its output is a planning input. Proposal 3 begins only after a scenario is approved and transforms a scenario-plus-contingency-rule package into observed decision and handoff evidence through an isolated, fixed, resettable rehearsal environment and embodied enactment. It neither qualifies signals nor extends proposal 1's implication-card workflow. Proposal 2 transforms bounded uncertainty questions into anonymized distributions of external expert judgment by reusing a broker's relationships, trust, and elicitation pathway; its central barrier is recruitment and convening. Proposal 3 does not elicit forecasts or maintain an expert network: authorized operational participants exercise existing decisions while a modular simulation bed presents conditions and records behavior. Its substrate, facilitator, cofactors, output, causal path, hazards, regeneration work, and adoption decision therefore differ from proposals 1 and 2.","revision_record":{"parent_version":null,"progress_targets_addressed":[],"conceptual_changes":[],"operational_changes":[],"evidence_changes":[],"claim_changes":[]}}