{
 "dataset": "knowledge-graph",
 "title": "BraInference knowledge graph",
 "description": "Ideas from BraInference meetups written down as Sema patterns: each names one mechanism, what must hold for it (invariants) and how it fails (failure modes), across four layers from infrastructure to society.",
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  {"slug":"EquationReduction","name":"EquationReduction","type":"Dynamics","layer":"Physics","summary":"Compress a complex phenomenon into a short interpretable equation","tags":["Physics","Dynamics"],"builds_on":[],"used_by":[{"handle":"ModelAsCompression","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/EquationReduction.md","updated":"2026-10-18"},
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  {"slug":"SpatioTemporalNullModel","name":"SpatioTemporalNullModel","type":"Dynamics","layer":"Physics","summary":"Simulate agents that move like the real ones but ignore each other, to test for social structure","tags":["Physics","Dynamics"],"builds_on":[{"handle":"NullModelBaseline","kind":"cites"}],"used_by":[{"handle":"InteractionSequenceEntropySignature","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/SpatioTemporalNullModel.md","updated":"2026-10-18"},
  {"slug":"ComputationalIrreducibility","name":"ComputationalIrreducibility","type":"Primitives","layer":"Physics","summary":"Some processes have no shortcut: the only way to know step n is to run n steps","tags":["Physics","Primitives"],"builds_on":[],"used_by":[{"handle":"EpistemicComplexity","kind":"cites"},{"handle":"BoundedModelOpenWorld","kind":"cites"},{"handle":"ModelAsCompression","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/ComputationalIrreducibility.md","updated":"2026-10-18"},
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  {"slug":"LeakyModulatorBuckets","name":"LeakyModulatorBuckets","type":"Inference","layer":"Mind","summary":"A few leaky reservoirs fill from events and shift how the system responds","tags":["Mind","Inference"],"builds_on":[],"used_by":[{"handle":"LimbicAdapterLayer","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/LeakyModulatorBuckets.md","updated":"2026-10-18"},
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  {"slug":"NaturalProblem","name":"NaturalProblem","type":"Reasoning","layer":"Mind","summary":"A problem where making attempts comparable is what prevents solving it","tags":["Mind","Reasoning"],"builds_on":[{"handle":"BoundedModelOpenWorld","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/NaturalProblem.md","updated":"2026-10-18"},
  {"slug":"RepresentationDependentOrder","name":"RepresentationDependentOrder","type":"Reasoning","layer":"Mind","summary":"Whether a collective looks ordered depends on the representation, so read several and expect them to disagree","tags":["Mind","Reasoning"],"builds_on":[{"handle":"MetaModularity","kind":"cites"},{"handle":"InteractionSequenceEntropySignature","kind":"cites"},{"handle":"LocalSpatialStateDivergence","kind":"cites"}],"used_by":[{"handle":"CollectiveInformationArchitecture","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/RepresentationDependentOrder.md","updated":"2026-10-18"},
  {"slug":"TimeAggregationBlindness","name":"TimeAggregationBlindness","type":"Reasoning","layer":"Mind","summary":"Pooling interactions over a time window erases the order that distinguishes collective regimes","tags":["Mind","Reasoning"],"builds_on":[{"handle":"SecondOrderInteractionNetwork","kind":"cites"}],"used_by":[{"handle":"InteractionSequenceEntropySignature","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/TimeAggregationBlindness.md","updated":"2026-10-18"},
  {"slug":"AgentTransitionGraph","name":"AgentTransitionGraph","type":"Strategy","layer":"Mind","summary":"Model an agent system's actions as a weighted state graph and plan backwards from a goal state","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"GameTransitionGraph","kind":"invokes"},{"handle":"ExpertInformedOrchestration","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/AgentTransitionGraph.md","updated":"2026-10-18"},
  {"slug":"BoundedHorizonEffort","name":"BoundedHorizonEffort","type":"Strategy","layer":"Mind","summary":"A known finite horizon raises the effort an agent spends per step","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"GenerationalKnowledgeTransfer","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/BoundedHorizonEffort.md","updated":"2026-10-18"},
  {"slug":"CryptographicChange","name":"CryptographicChange","type":"Strategy","layer":"Mind","summary":"Spend the capacity a prediction frees on hidden extra work instead of returning it as savings","tags":["Mind","Strategy"],"builds_on":[{"handle":"ParasiticSearch","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/CryptographicChange.md","updated":"2026-10-18"},
  {"slug":"DeterministicRandomizer","name":"DeterministicRandomizer","type":"Strategy","layer":"Mind","summary":"Use ordinary code to inject randomness so the model does not loop","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"HarnessForcedCreativity","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/DeterministicRandomizer.md","updated":"2026-10-18"},
  {"slug":"EffortlessAction","name":"EffortlessAction","type":"Strategy","layer":"Mind","summary":"Act from flow and least resistance rather than from a goal or need to prove","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"PersonalGrowthCompanion","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/EffortlessAction.md","updated":"2026-10-18"},
  {"slug":"FormChangeRepertoire","name":"FormChangeRepertoire","type":"Strategy","layer":"Mind","summary":"A life cycle is a set of tactics played under stress, not a fixed sequence of stages","tags":["Mind","Strategy"],"builds_on":[{"handle":"MetaModularity","kind":"invokes"},{"handle":"GenerationalKnowledgeTransfer","kind":"cites"},{"handle":"SelfOrganisation","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/FormChangeRepertoire.md","updated":"2026-10-18"},
  {"slug":"FourPillarBaseline","name":"FourPillarBaseline","type":"Strategy","layer":"Mind","summary":"Sleep, intake, motion, and creation as the four things to keep in order","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"PersonalGrowthCompanion","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/FourPillarBaseline.md","updated":"2026-10-18"},
  {"slug":"FractionalDelivery","name":"FractionalDelivery","type":"Strategy","layer":"Mind","summary":"Partly build responses to possible stressors; the cost of carrying them is preparedness","tags":["Mind","Strategy"],"builds_on":[{"handle":"RejectionCostOptionality","kind":"cites"},{"handle":"ResidualityStressorIntegration","kind":"invokes"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/FractionalDelivery.md","updated":"2026-10-18"},
  {"slug":"GoalMisspecification","name":"GoalMisspecification","type":"Strategy","layer":"Mind","summary":"A wrong goal defeats correct execution; choosing the goal is the highest-leverage decision","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"DelegationDiscipline","kind":"invokes"},{"handle":"PersonalGrowthCompanion","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/GoalMisspecification.md","updated":"2026-10-18"},
  {"slug":"HarnessAsArchitecture","name":"HarnessAsArchitecture","type":"Strategy","layer":"Mind","summary":"Intelligence lives in the architecture around a static model, not in the model alone","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"ContentAddressedMinting","kind":"cites"},{"handle":"LimbicAdapterLayer","kind":"cites"},{"handle":"ArchitectureOfIntelligence","kind":"invokes"},{"handle":"HarnessForcedCreativity","kind":"cites"},{"handle":"FourECognition","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/HarnessAsArchitecture.md","updated":"2026-10-18"},
  {"slug":"HarnessForcedCreativity","name":"HarnessForcedCreativity","type":"Strategy","layer":"Mind","summary":"Models are only creative when the harness forces variation from outside","tags":["Mind","Strategy"],"builds_on":[{"handle":"HarnessAsArchitecture","kind":"cites"},{"handle":"DeterministicRandomizer","kind":"cites"},{"handle":"PinkElephantContext","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/HarnessForcedCreativity.md","updated":"2026-10-18"},
  {"slug":"InformationDividend","name":"InformationDividend","type":"Strategy","layer":"Mind","summary":"Acting on short-range information pays even when the long-range forecast is exactly right","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"TransitionHub","kind":"cites"},{"handle":"OptionVectorPlanning","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/InformationDividend.md","updated":"2026-10-18"},
  {"slug":"IrreversibleStake","name":"IrreversibleStake","type":"Strategy","layer":"Mind","summary":"Irreversible outcomes give an agent something real to lose","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"EmbodiedConsequentAgent","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/IrreversibleStake.md","updated":"2026-10-18"},
  {"slug":"MassAmplifiedError","name":"MassAmplifiedError","type":"Strategy","layer":"Mind","summary":"A fixed error rate in frozen information grows in absolute size with the mass invested in it","tags":["Mind","Strategy"],"builds_on":[{"handle":"MetaModularity","kind":"cites"},{"handle":"ShapeMassInformation","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/MassAmplifiedError.md","updated":"2026-10-18"},
  {"slug":"MetaModularity","name":"MetaModularity","type":"Strategy","layer":"Mind","summary":"Adapt by holding overlapping, non-identical models of the same situation and moving between them cheaply","tags":["Mind","Strategy"],"builds_on":[{"handle":"BoundedModelOpenWorld","kind":"cites"}],"used_by":[{"handle":"RepresentationDependentOrder","kind":"cites"},{"handle":"FormChangeRepertoire","kind":"invokes"},{"handle":"ShapeMassInformation","kind":"cites"},{"handle":"MassAmplifiedError","kind":"cites"},{"handle":"RiskExoskeleton","kind":"invokes"},{"handle":"ResidualityStressorIntegration","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/MetaModularity.md","updated":"2026-10-18"},
  {"slug":"ParasiticSearch","name":"ParasiticSearch","type":"Strategy","layer":"Mind","summary":"Explore the edges of your main model on time and resources paid for by something else","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"CryptographicChange","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/ParasiticSearch.md","updated":"2026-10-18"},
  {"slug":"PersonalGrowthCompanion","name":"PersonalGrowthCompanion","type":"Strategy","layer":"Mind","summary":"A long-lived agent that helps a person choose goals and keep their baseline, without rigid command","tags":["Mind","Strategy"],"builds_on":[{"handle":"GoalMisspecification","kind":"invokes"},{"handle":"FourPillarBaseline","kind":"invokes"},{"handle":"PersistentInnateState","kind":"invokes"},{"handle":"FeltDirectionCheck","kind":"invokes"},{"handle":"EffortlessAction","kind":"invokes"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/PersonalGrowthCompanion.md","updated":"2026-10-18"},
  {"slug":"ResidualityStressorIntegration","name":"ResidualityStressorIntegration","type":"Strategy","layer":"Mind","summary":"Design for many arbitrary stressors directly in the structure, skipping a forecast of the future","tags":["Mind","Strategy"],"builds_on":[{"handle":"MetaModularity","kind":"cites"}],"used_by":[{"handle":"FractionalDelivery","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/ResidualityStressorIntegration.md","updated":"2026-10-18"},
  {"slug":"RiskExoskeleton","name":"RiskExoskeleton","type":"Strategy","layer":"Mind","summary":"The risk-management uses hidden inside assets whose obvious purpose is something else","tags":["Mind","Strategy"],"builds_on":[{"handle":"MetaModularity","kind":"invokes"},{"handle":"ActiveInferenceHomeostasis","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/RiskExoskeleton.md","updated":"2026-10-18"},
  {"slug":"RouterIntelligenceParadox","name":"RouterIntelligenceParadox","type":"Strategy","layer":"Mind","summary":"Choosing which model to send a job to takes at least the intelligence of the job","tags":["Mind","Strategy"],"builds_on":[],"used_by":[{"handle":"ExpertInformedOrchestration","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/RouterIntelligenceParadox.md","updated":"2026-10-18"},
  {"slug":"ShapeMassInformation","name":"ShapeMassInformation","type":"Strategy","layer":"Mind","summary":"Growth risk is the balance of controlling shape, adding mass and adding information","tags":["Mind","Strategy"],"builds_on":[{"handle":"MetaModularity","kind":"cites"}],"used_by":[{"handle":"MassAmplifiedError","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/ShapeMassInformation.md","updated":"2026-10-18"},
  {"slug":"TransitionHub","name":"TransitionHub","type":"Strategy","layer":"Mind","summary":"Occupy a state from which many valuable states are cheap to reach","tags":["Mind","Strategy"],"builds_on":[{"handle":"InformationDividend","kind":"cites"}],"used_by":[{"handle":"OrganisationGame","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/TransitionHub.md","updated":"2026-10-18"},
  {"slug":"ChimericalComputation","name":"ChimericalComputation","type":"Coordination","layer":"Society","summary":"Imperfectly aligned, overlapping work packs more functions into the same parts","tags":["Society","Coordination"],"builds_on":[{"handle":"MultiPathReliability","kind":"cites"},{"handle":"RejectionCostOptionality","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/ChimericalComputation.md","updated":"2026-10-18"},
  {"slug":"CollectiveInformationArchitecture","name":"CollectiveInformationArchitecture","type":"Coordination","layer":"Society","summary":"Read a collective's behavioural regime as a configuration of how information can flow through its interactions","tags":["Society","Coordination"],"builds_on":[{"handle":"InteractionSequenceEntropySignature","kind":"invokes"},{"handle":"RepresentationDependentOrder","kind":"cites"},{"handle":"Superorganism","kind":"cites"},{"handle":"DistributedIntelligence","kind":"cites"},{"handle":"LocalSpatialStateDivergence","kind":"invokes"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/CollectiveInformationArchitecture.md","updated":"2026-10-18"},
  {"slug":"CooperationHorizon","name":"CooperationHorizon","type":"Coordination","layer":"Society","summary":"Cooperation holds when interaction is repeated without a known end","tags":["Society","Coordination"],"builds_on":[],"used_by":[{"handle":"CrackpotProbe","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/CooperationHorizon.md","updated":"2026-10-18"},
  {"slug":"CoordinatorLaneTopology","name":"CoordinatorLaneTopology","type":"Coordination","layer":"Society","summary":"One coordinator, a few lanes, sub-agents beneath, and no rigid org chart","tags":["Society","Coordination"],"builds_on":[],"used_by":[{"handle":"SwarmCostQualityTradeoff","kind":"invokes"},{"handle":"DistributedIntelligence","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/CoordinatorLaneTopology.md","updated":"2026-10-18"},
  {"slug":"CrackpotProbe","name":"CrackpotProbe","type":"Coordination","layer":"Society","summary":"Ask for someone's most crackpot belief and offer one honest objection, to see how they think where consensus no longer filters them","tags":["Society","Coordination"],"builds_on":[{"handle":"ContextConfirmationBias","kind":"cites"},{"handle":"ComputationalChannel","kind":"cites"},{"handle":"CooperationHorizon","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/CrackpotProbe.md","updated":"2026-10-18"},
  {"slug":"DistributedIntelligence","name":"DistributedIntelligence","type":"Coordination","layer":"Society","summary":"Many model instances selectively exchange information to reduce uncertainty about their environments","tags":["Society","Coordination"],"builds_on":[{"handle":"LocalLearningRule","kind":"cites"},{"handle":"CoordinatorLaneTopology","kind":"invokes"},{"handle":"PredictionErrorMinimization","kind":"cites"},{"handle":"SelfOrganisation","kind":"cites"}],"used_by":[{"handle":"CollectiveInformationArchitecture","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/DistributedIntelligence.md","updated":"2026-10-18"},
  {"slug":"ExperienceMixAllocation","name":"ExperienceMixAllocation","type":"Coordination","layer":"Society","summary":"Mix a few deep experts with cheap or diverse workers, matched to how new the problem is","tags":["Society","Coordination"],"builds_on":[],"used_by":[{"handle":"SwarmCostQualityTradeoff","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/ExperienceMixAllocation.md","updated":"2026-10-18"},
  {"slug":"ExpertInformedOrchestration","name":"ExpertInformedOrchestration","type":"Coordination","layer":"Society","summary":"Automate agent orchestration with a probabilistic transition model, guarded by strong routing","tags":["Society","Coordination"],"builds_on":[{"handle":"SwarmCostQualityTradeoff","kind":"invokes"},{"handle":"AgentTransitionGraph","kind":"invokes"},{"handle":"RouterIntelligenceParadox","kind":"invokes"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/ExpertInformedOrchestration.md","updated":"2026-10-18"},
  {"slug":"FreelancerBrief","name":"FreelancerBrief","type":"Coordination","layer":"Society","summary":"Brief an agent like a capable outsider who has never seen your company","tags":["Society","Coordination"],"builds_on":[],"used_by":[{"handle":"DelegationDiscipline","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/FreelancerBrief.md","updated":"2026-10-18"},
  {"slug":"GameTransitionGraph","name":"GameTransitionGraph","type":"Coordination","layer":"Society","summary":"A graph of pure coordination games whose edges are weighted by how many agents must switch strategy","tags":["Society","Coordination"],"builds_on":[{"handle":"AgentTransitionGraph","kind":"invokes"},{"handle":"LateralityCost","kind":"cites"},{"handle":"OrganisationGame","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/GameTransitionGraph.md","updated":"2026-10-18"},
  {"slug":"InformationGame","name":"InformationGame","type":"Coordination","layer":"Society","summary":"Intelligences modelling each other modelling them, where the missing information is a property of the system","tags":["Society","Coordination"],"builds_on":[{"handle":"EpistemicComplexity","kind":"cites"},{"handle":"BoundedModelOpenWorld","kind":"cites"},{"handle":"ModelAsCompression","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/InformationGame.md","updated":"2026-10-18"},
  {"slug":"LateralityCost","name":"LateralityCost","type":"Coordination","layer":"Society","summary":"An action gets harder with every additional unit that must coordinate to perform it","tags":["Society","Coordination"],"builds_on":[{"handle":"MultiPathReliability","kind":"cites"},{"handle":"PeripheralHitchhiking","kind":"invokes"}],"used_by":[{"handle":"GameTransitionGraph","kind":"cites"},{"handle":"OrganisationGame","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/LateralityCost.md","updated":"2026-10-18"},
  {"slug":"MultiPathReliability","name":"MultiPathReliability","type":"Coordination","layer":"Society","summary":"Make an outcome reliable through many noisy ways to reach it, not one accountable path","tags":["Society","Coordination"],"builds_on":[],"used_by":[{"handle":"LateralityCost","kind":"cites"},{"handle":"ChimericalComputation","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/MultiPathReliability.md","updated":"2026-10-18"},
  {"slug":"OptionVectorPlanning","name":"OptionVectorPlanning","type":"Coordination","layer":"Society","summary":"Plan resources as a forecast, plan tasks as options that stay open at every level","tags":["Society","Coordination"],"builds_on":[{"handle":"InformationDividend","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/OptionVectorPlanning.md","updated":"2026-10-18"},
  {"slug":"OrganisationGame","name":"OrganisationGame","type":"Coordination","layer":"Society","summary":"Perfectly aligned agents still fail when the best joint strategy changes and too many must switch","tags":["Society","Coordination"],"builds_on":[{"handle":"TransitionHub","kind":"cites"},{"handle":"LateralityCost","kind":"cites"}],"used_by":[{"handle":"GameTransitionGraph","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/OrganisationGame.md","updated":"2026-10-18"},
  {"slug":"OutsiderDiversityInjection","name":"OutsiderDiversityInjection","type":"Coordination","layer":"Society","summary":"Seed a search with people experienced in unrelated fields plus a few domain experts","tags":["Society","Coordination"],"builds_on":[],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/OutsiderDiversityInjection.md","updated":"2026-10-18"},
  {"slug":"PeripheralHitchhiking","name":"PeripheralHitchhiking","type":"Coordination","layer":"Society","summary":"Unanticipated but needed information travels on channels that already exist for other reasons","tags":["Society","Coordination"],"builds_on":[],"used_by":[{"handle":"LateralityCost","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/PeripheralHitchhiking.md","updated":"2026-10-18"},
  {"slug":"Stigmergy","name":"Stigmergy","type":"Coordination","layer":"Society","summary":"Agents coordinate indirectly by leaving traces in a shared environment that cue later actions","tags":["Society","Coordination"],"builds_on":[{"handle":"LocalLearningRule","kind":"cites"},{"handle":"SelfOrganisation","kind":"cites"}],"used_by":[{"handle":"FuzzyAlgorithm","kind":"cites"},{"handle":"ThinkingTrace","kind":"cites"},{"handle":"Superorganism","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/Stigmergy.md","updated":"2026-10-18"},
  {"slug":"Superorganism","name":"Superorganism","type":"Coordination","layer":"Society","summary":"A colony whose integrated parts function, and are selected, as one higher-level organism","tags":["Society","Coordination"],"builds_on":[{"handle":"ColonyIntelligence","kind":"cites"},{"handle":"AdaptiveNetworkCoevolution","kind":"invokes"},{"handle":"Stigmergy","kind":"invokes"},{"handle":"SelfOrganisation","kind":"cites"}],"used_by":[{"handle":"CollectiveInformationArchitecture","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/Superorganism.md","updated":"2026-10-18"},
  {"slug":"SwarmCostQualityTradeoff","name":"SwarmCostQualityTradeoff","type":"Coordination","layer":"Society","summary":"Prefer strong agents in a simple topology; use cheap agents only where errors are cheap","tags":["Society","Coordination"],"builds_on":[{"handle":"ExperienceMixAllocation","kind":"invokes"},{"handle":"CoordinatorLaneTopology","kind":"invokes"}],"used_by":[{"handle":"ExpertInformedOrchestration","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/SwarmCostQualityTradeoff.md","updated":"2026-10-18"},
  {"slug":"HypeCorrectionCycle","name":"HypeCorrectionCycle","type":"Economics","layer":"Society","summary":"Unverifiable claims run on fear of missing out until markets demand proof","tags":["Society","Economics"],"builds_on":[],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/HypeCorrectionCycle.md","updated":"2026-10-18"},
  {"slug":"IncumbentSlackTest","name":"IncumbentSlackTest","type":"Economics","layer":"Society","summary":"Predict what an incumbent will not pursue by asking where it is not spoiled for resources","tags":["Society","Economics"],"builds_on":[],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/IncumbentSlackTest.md","updated":"2026-10-18"},
  {"slug":"LabGravityWell","name":"LabGravityWell","type":"Economics","layer":"Society","summary":"Ventures near a frontier lab risk being absorbed, yet most of the space lies outside its pull","tags":["Society","Economics"],"builds_on":[],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/LabGravityWell.md","updated":"2026-10-18"},
  {"slug":"ObsolescenceHedging","name":"ObsolescenceHedging","type":"Economics","layer":"Society","summary":"Delay building what the platform vendor is about to ship","tags":["Society","Economics"],"builds_on":[],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/ObsolescenceHedging.md","updated":"2026-10-18"},
  {"slug":"ContentAddressedMinting","name":"ContentAddressedMinting","type":"Protocols","layer":"Society","summary":"A generative agent drafts a new word; deterministic code accepts or rejects it and derives its name from the hash of its definition","tags":["Society","Protocols"],"builds_on":[{"handle":"ComputationalChannel","kind":"cites"},{"handle":"HarnessAsArchitecture","kind":"cites"},{"handle":"SelfOrganisingVocabulary","kind":"cites"}],"used_by":[{"handle":"ThinkingTrace","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/ContentAddressedMinting.md","updated":"2026-10-18"},
  {"slug":"FuzzyAlgorithm","name":"FuzzyAlgorithm","type":"Protocols","layer":"Society","summary":"A reusable route through coarse regions of a problem space, where each step names a condition to reach and leaves how to reach it to the executor's judgment","tags":["Society","Protocols"],"builds_on":[{"handle":"ModelAsCompression","kind":"cites"},{"handle":"ProductivePredictionMachine","kind":"cites"},{"handle":"ThinkingTrace","kind":"cites"},{"handle":"Stigmergy","kind":"cites"},{"handle":"DelegationDiscipline","kind":"cites"}],"used_by":[],"detail_url":"https://brainference.eu/knowledge-graph/FuzzyAlgorithm.md","updated":"2026-10-18"},
  {"slug":"SelfOrganisingVocabulary","name":"SelfOrganisingVocabulary","type":"Protocols","layer":"Society","summary":"A shared vocabulary shaped only by the interactions of the agents that use it","tags":["Society","Protocols"],"builds_on":[{"handle":"SelfOrganisation","kind":"cites"}],"used_by":[{"handle":"ContentAddressedMinting","kind":"cites"},{"handle":"ThinkingTrace","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/SelfOrganisingVocabulary.md","updated":"2026-10-18"},
  {"slug":"ThinkingTrace","name":"ThinkingTrace","type":"Protocols","layer":"Society","summary":"Record a line of thought as an ordered walk through shared, content-addressed concepts, so the route from question to answer can be inspected, compared and reused","tags":["Society","Protocols"],"builds_on":[{"handle":"ContentAddressedMinting","kind":"cites"},{"handle":"ModelAsCompression","kind":"cites"},{"handle":"Stigmergy","kind":"cites"},{"handle":"SelfOrganisingVocabulary","kind":"cites"}],"used_by":[{"handle":"FuzzyAlgorithm","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/ThinkingTrace.md","updated":"2026-10-18"},
  {"slug":"DelegationDiscipline","name":"DelegationDiscipline","type":"Roles","layer":"Society","summary":"Delegate with a self-contained brief and a checked goal, knowing leverage costs feel","tags":["Society","Roles"],"builds_on":[{"handle":"LeverageAbstractionLoss","kind":"invokes"},{"handle":"GoalMisspecification","kind":"invokes"},{"handle":"FreelancerBrief","kind":"invokes"}],"used_by":[{"handle":"FuzzyAlgorithm","kind":"cites"}],"detail_url":"https://brainference.eu/knowledge-graph/DelegationDiscipline.md","updated":"2026-10-18"},
  {"slug":"LeverageAbstractionLoss","name":"LeverageAbstractionLoss","type":"Roles","layer":"Society","summary":"Delegation multiplies reach and removes direct feel for the work","tags":["Society","Roles"],"builds_on":[],"used_by":[{"handle":"DelegationDiscipline","kind":"invokes"}],"detail_url":"https://brainference.eu/knowledge-graph/LeverageAbstractionLoss.md","updated":"2026-10-18"}
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