{"id":"choseverse-trajectory-engine-v0.1","title":"Choseverse Trajectory Engine v0.1","subtitle":"State-Aware Action Ranking with Path Expansion and Outcome Learning","author":"John Brajer","framework":"Choseverse","publisher":"MyMindMine","version":"0.1","establishedSourceWindow":"August 2026","implementationDate":"2026-09-12","publicRecordDate":"2026-09-12","type":["TechnicalSpecification","ImplementationRecord"],"governingQuestion":"Given where you are right now, which available action changes your trajectory the most?","transitionModel":["Current State","Action","Weight Shift","New State","New Possibilities"],"dimensions":["money","network","visibility","risk","confidence","futureOptions","reversibility","informationGain","alignment","pathExpansion"],"actionModes":["experience","build","career","money","create","learn","social","reset","admin"],"implemented":{"feasibility":["time","budget","travelRadius","energy"],"ranking":"action effect × personal dimension weight × current need, plus bounded hybrid bonus and time/budget opportunity-cost penalties","tieBreakers":["totalScore","pathExpansion","shorterDuration"],"learningLoop":["predict","act","observe","compare","update personal weights","re-rank"],"validation":["constraint rejection","hybrid action ranking","infeasible action demotion","best feasible recommendation","predicted-versus-actual weight update","unchanged unobserved dimensions"],"laterIntegration":["trajectory API","seeded action library","durable trajectory memory","recommendation persistence","outcome persistence"]},"provenance":{"conceptualArchitecture":"August 2026 Choseverse state-space and trajectory records","pathExpansionPublicRecord":"/frameworks/path-expansion","implementationCommits":["4075610944fc60e6f514edbd6957aecd22cf9234","a89b4aa5eb41ec9fa8fb6ed987ac4e0031a86115","41ef3f1ac13a287c4834c46041d11b496bda8c74","9a4fccfa37a56d7e902788e4490eea684004a367","186322261316ed661e07510380a67cf755a17158","8d7ebd7f74a7d9161a2e0052b595b0f99cd833cc","f3e95536db890be6de954c8324ea75d458e1e723"]},"claimBoundary":{"established":["state-aware trajectory model","feasibility filtering","deterministic action ranking","Path Expansion as a first-class dimension","personalized outcome-learning mechanism","tests and durable integration work"],"notEstablished":["clinical efficacy","scientific optimality of default weights","universal human preference parameters","superior long-horizon outcomes versus other systems","validated causal probabilities for future states"]},"related":["/methods/perspective-expansion","/frameworks/path-expansion","/research/possibility-reserve","/research/brmfa"],"citation":"Brajer, John. Choseverse Trajectory Engine v0.1: State-Aware Action Ranking with Path Expansion and Outcome Learning. Choseverse / MyMindMine, architecture established August 2026; implementation record September 12, 2026."}