{ "platform": "H11I", "governing_model": "H11-SIM", "schema": "h11i-agent-capability-upgrade-v2", "version": "2.0.0", "topology": { "agent_count": 33, "topology_change": false, "specialist_model": "bounded-super-specialist", "system_behavior": "governed system-level coordination", "minimum_sufficient_deep_activation": true, "all_agent_fast_contribution": true }, "coverage": { "agents": 33, "specialist_capabilities": 309, "common_capabilities_per_agent": 11, "common_capability_bindings": 363, "complete": true }, "common_substrate": { "capabilities": [ "role self-awareness", "calibrated uncertainty", "provenance tracking", "structured communication", "constraint awareness", "adversarial robustness", "resource awareness", "graceful degradation", "evaluation hooks", "governed learning", "human-legible reasoning artifacts" ], "capability_count": 11, "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "governance_invariants": [ "no agent may expand its own authority", "no agent may silently change identity, policy, or safety boundaries", "consequential action requires explicit authorization and H11I-VANGUARD", "material dissent must be preserved through H11I-ZENITH", "release requires independent H11I-VERITAS verification", "learning promotion requires evaluation, versioning, and rollback" ] }, "distinctive_mechanisms": [ "dynamic minimum-sufficient agent activation", "claim-level evidence provenance", "continuously updated epistemic ledger", "causal world modeling connected to simulation", "institutionalized adversarial challenge", "constitutional policy enforcement", "reversible and authorization-gated execution", "evaluation-gated recursive improvement", "calibrated consensus that preserves dissent", "complete decision and execution lineage", "human interruption, rollback, and appeal at every consequential layer" ], "truth_boundary": "This contract defines implemented routing, artifact, authority, and evaluation requirements. It does not by itself prove ASI, world-first status, or benchmark supremacy.", "agents": [ { "index": 1, "agent": "H11-ARCHON", "target_role": "The executive council architect that assembles the smallest capable team for each problem.", "capabilities": [ "Dynamic task decomposition and dependency mapping", "Real-time expert coalition formation", "Competence-based agent selection", "Resource-, risk-, and deadline-aware routing", "Deadlock and disagreement resolution", "Automatic rerouting after agent or provider failure", "Parallel and sequential execution planning", "Stopping conditions that prevent unnecessary agent activation" ], "capability_count": 8, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 2, "agent": "H11-GI", "target_role": "The general reasoning core for problems that do not fit a narrow specialist domain.", "capabilities": [ "Cross-domain transfer and analogical reasoning", "Mathematical, logical, spatial, and commonsense reasoning", "Long-horizon planning", "Abstraction across different levels of detail", "Novel-problem adaptation", "Detection of missing knowledge and unsupported assumptions", "Reasoning strategy selection", "Integration of symbolic, probabilistic, and neural reasoning" ], "capability_count": 8, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 3, "agent": "H11-MI", "target_role": "The governed memory substrate that preserves useful knowledge without treating every stored item as fact.", "capabilities": [ "Episodic, semantic, procedural, and working memory", "Memory consolidation and compression", "Contradiction-aware memory updates", "Temporal and contextual retrieval", "Governed forgetting and retention", "User-, project-, institution-, and system-specific memory boundaries", "Memory contamination detection", "Confidence and provenance attached to every memory" ], "capability_count": 8, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 4, "agent": "H11-BIVERSE", "target_role": "The complete human–machine interaction and multimodal representation layer.", "capabilities": [ "Cross-modal grounding among text, speech, image, video, diagrams, maps, and spatial interfaces", "Multimodal contradiction detection", "Adaptive explanations for different audiences", "Accessibility-aware interaction", "Real-time conversational state tracking", "Interface generation based on task complexity", "Visual verification before presenting generated media", "Cultural, linguistic, and contextual communication adaptation" ], "capability_count": 8, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 5, "agent": "H11-NEXUS", "target_role": "The live connection layer between H11I and external information systems.", "capabilities": [ "Entity resolution across services and sources", "Real-time API and data-stream federation", "Source reliability and freshness scoring", "Knowledge-graph linkage", "Authentication-aware service integration", "Outage, rate-limit, and provider fallback", "Duplicate and conflicting-result detection", "Change monitoring and event-driven updates" ], "capability_count": 8, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 6, "agent": "H11-EISA", "target_role": "The automation engine that converts approved intelligence into controlled operations.", "capabilities": [ "Plan-to-workflow compilation", "Sandboxed action execution", "Dry runs and impact previews", "Transactional execution", "Idempotency and retry control", "Postcondition verification", "Rollback and compensation workflows", "Secrets, credentials, and permission isolation", "Execution telemetry and incident reporting" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 7, "agent": "H11-FOURTY", "target_role": "The structured and unstructured information-processing specialist.", "capabilities": [ "Semantic document parsing", "Table, formula, diagram, and chart understanding", "Spreadsheet formula lineage and error detection", "Structured-data and schema validation", "Cross-document comparison", "Contract, policy, and requirement extraction", "Citation-preserving document transformation", "Version and revision intelligence", "Data-quality and integrity assessment" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 8, "agent": "H11-HARNESS", "target_role": "The controlled operating environment for models, tools, plugins, and computational resources.", "capabilities": [ "Automatic tool discovery and capability registration", "Tool compatibility and dependency checking", "Runtime isolation", "Version management", "Permission-aware tool access", "Tool reliability scoring", "Environment provisioning", "Capability substitution when tools are unavailable", "Reproducible runtime configuration" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 9, "agent": "H11-BEE", "target_role": "The autonomous research strategist that expands knowledge without confusing volume with quality.", "capabilities": [ "Research-plan generation", "Systematic and exploratory research modes", "Source diversity requirements", "Literature and evidence-gap detection", "Active-learning query selection", "Experimental design", "Negative-result preservation", "Research stopping criteria", "Synthesis across contradictory schools of thought" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 10, "agent": "H11-ACROS", "target_role": "The constitutional control plane of H11I.", "capabilities": [ "Machine-readable constitutional policies", "Authority and delegation matrices", "Policy hierarchy and conflict resolution", "Human approval requirements", "Exception handling", "Jurisdiction- and institution-specific rules", "Immutable audit trails", "Emergency suspension and containment", "Separation of duties", "Governance-change approval procedures" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 11, "agent": "H11-CROW", "target_role": "The resilient communications and coordination backbone.", "capabilities": [ "Reliable event-bus architecture", "Provider health monitoring", "Load balancing", "Circuit breakers and retry policies", "Distributed-state consistency", "Queue prioritization", "Network partition handling", "Incident detection and recovery", "Message deduplication and ordering", "Cross-provider capability failover" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 12, "agent": "H11I-ORACLE", "target_role": "The authoritative evidence acquisition and provenance engine.", "capabilities": [ "Claim-level evidence graphs", "Source independence analysis", "Freshness decay", "Credibility and methodological-quality scoring", "Evidence deduplication", "Conflict triangulation", "Chain-of-custody preservation", "Retraction and correction monitoring", "Evidence sufficiency thresholds", "Explicit separation of evidence from inference" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 13, "agent": "H11I-PRISM", "target_role": "The cognitive dispatcher that determines which intelligences should participate.", "capabilities": [ "Unified-33 capability ontology", "Complexity and risk classification", "Minimum-sufficient expert activation", "Dynamic council expansion", "Domain-boundary detection", "Unknown-domain escalation", "Cost-benefit analysis for specialist activation", "Prevention of circular routing", "Routing-quality learning from outcomes" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 14, "agent": "H11I-ATLAS", "target_role": "H11I’s governed representation of reality and operating context.", "capabilities": [ "Continuously updated belief-state modeling", "User, system, institution, environment, and task-state separation", "Causal and relational world graphs", "Constraint and dependency maps", "Uncertainty attached to world-model elements", "Contradiction-aware updates", "Counterfactual world states", "Partial-observability handling", "State snapshots and reversible updates" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 15, "agent": "H11I-DELTA", "target_role": "The system-wide uncertainty, anomaly, and drift observatory.", "capabilities": [ "Aleatoric and epistemic uncertainty measurement", "Out-of-distribution detection", "Contradiction and inconsistency scoring", "Model, data, policy, and behavioral drift detection", "Decision sensitivity analysis", "Confidence calibration", "Performance-degradation monitoring", "Early-warning thresholds", "Uncertainty-driven escalation" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 16, "agent": "H11I-AEGIS", "target_role": "The active safety and security enforcement boundary.", "capabilities": [ "Policy-as-code enforcement", "Least-privilege access", "Privacy-preserving computation", "Credential and secret protection", "Data-loss prevention", "Prompt-injection and tool-manipulation defenses", "Safety envelopes", "Reversible controls", "Continuous threat modeling", "Automatic containment of compromised components" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 17, "agent": "H11I-ZENITH", "target_role": "The calibrated consensus and decision-fusion engine.", "capabilities": [ "Evidence-weighted consensus", "Bayesian and reliability-adjusted fusion", "Preservation of minority reports", "Independence-aware vote weighting", "Confidence aggregation", "Disagreement classification", "Decision thresholds", "Escalation when consensus is artificial or unstable", "Prevention of authority-based groupthink" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 18, "agent": "H11I-CHRONOS", "target_role": "The temporal intelligence governing sequence, timing, decay, and future evolution.", "capabilities": [ "Temporal event ordering", "Multi-horizon forecasting", "Deadline and dependency management", "Information-decay modeling", "Temporal causal reasoning", "Time-zone and calendar intelligence", "Latency-aware planning", "Cycle and seasonality detection", "Future-state stability analysis", "Version-aware historical reasoning" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 19, "agent": "H11I-MYRIAD", "target_role": "The possibility-space explorer.", "capabilities": [ "Probabilistic scenario trees", "Counterfactual generation", "Adversarial and black-swan scenarios", "Opportunity discovery", "Monte Carlo exploration", "Scenario diversity measurement", "Branch pruning", "Value-of-information analysis", "Tail-risk estimation", "Scenario-to-decision traceability" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 20, "agent": "H11I-FORGE", "target_role": "The governed creation engine for answers, systems, plans, and interventions.", "capabilities": [ "Multi-objective solution search", "Constraint-satisfaction reasoning", "Architecture and design synthesis", "Rapid prototype generation", "Trade-off analysis", "Alternative and fallback creation", "Recovery-path generation", "Feasibility and dependency checks", "Iterative improvement based on simulated outcomes" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 21, "agent": "H11I-VERITAS", "target_role": "The final truth, correctness, and release-assurance layer.", "capabilities": [ "Formal and logical consistency checks", "Mathematical verification", "Code and workflow testing", "Citation and provenance validation", "Reproducibility testing", "Requirement-to-output traceability", "Cross-modal consistency verification", "Hallucination and unsupported-claim detection", "Defined release criteria", "Independent verification modes" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 22, "agent": "H11I-VANGUARD", "target_role": "The only agent authorized to convert approved decisions into consequential action.", "capabilities": [ "Explicit authorization gates", "Transactional execution", "Canary deployment", "Real-time observability", "Postcondition validation", "Idempotency", "Automated rollback", "Incident response", "Human interruption capability", "Auditable outcome reporting", "Prevention of unauthorized goal expansion" ], "capability_count": 11, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 23, "agent": "H11-META", "target_role": "The observer and optimizer of H11I’s reasoning processes.", "capabilities": [ "Reasoning-strategy evaluation", "Cognitive-bias detection", "Problem-reframing ability", "Detection of circular or unproductive reasoning", "Strategy switching", "Depth-versus-cost regulation", "Reasoning-quality metrics", "Introspection limits", "Escalation when self-evaluation is unreliable", "Meta-level stopping conditions" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 24, "agent": "H11-NOVA", "target_role": "The discovery engine for ideas that do not arise from ordinary retrieval or interpolation.", "capabilities": [ "Cross-domain concept recombination", "Novelty search", "Hypothesis generation", "Originality and usefulness scoring", "Distant-association discovery", "Scientific and engineering experiment generation", "Prior-knowledge comparison", "Falsifiable prediction creation", "Discovery portfolio management" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 25, "agent": "H11-SAPIENCE", "target_role": "The practical-wisdom layer that determines what should be recommended, not merely what can be done.", "capabilities": [ "Consequence-aware judgment", "Stakeholder analysis", "Proportionality and reversibility assessment", "Decision-making under moral and practical uncertainty", "Institutional and social-context reasoning", "Negotiation and conflict mediation", "Long-term versus short-term trade-offs", "Recognition of situations where restraint is superior to action", "Clear presentation of value-dependent judgments" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 26, "agent": "H11-CAUSAL", "target_role": "The intervention and cause-and-effect reasoning specialist.", "capabilities": [ "Structural causal models", "Confounder detection", "Intervention analysis", "Mediation and moderation analysis", "Counterfactual outcome estimation", "Transportability across populations and environments", "Causal-discovery methods", "Outcome-based causal-model updates", "Distinction between correlation, prediction, and causation" ], "capability_count": 9, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 27, "agent": "H11-OMEGA", "target_role": "The recursive-improvement governor—not an unrestricted self-rewriting agent.", "capabilities": [ "Evaluation-gated improvement", "Sandboxed self-modification", "Versioned capability changes", "Approval requirements for architectural changes", "Regression and safety testing", "Capability-delta measurement", "Automatic rollback", "Change-impact forecasting", "Prevention of uncontrolled objective modification", "Improvement audit trails" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 28, "agent": "H11-EPISTEME", "target_role": "The governor of what H11I knows, believes, suspects, or does not know.", "capabilities": [ "Formal belief ledger", "Fact, inference, estimate, hypothesis, and opinion classification", "Confidence calibration", "Provenance and freshness tracking", "Contradiction resolution", "Belief decay", "Retraction handling", "Knowledge-boundary detection", "Prevention of false certainty", "Epistemic-status propagation across agents" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 29, "agent": "H11-INTENT", "target_role": "The interpreter and custodian of the true objective.", "capabilities": [ "Explicit and implicit objective detection", "Unstated-constraint discovery", "Ambiguity measurement", "Preference and priority modeling", "Stakeholder-goal separation", "Consent and authorization checks", "Goal-conflict detection", "Testable success criteria", "Detection of deceptive or manipulated instructions", "Ongoing intent validation during execution" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 30, "agent": "H11-SIMULA", "target_role": "The pre-execution environment for testing futures before acting in the real world.", "capabilities": [ "Multi-agent world simulation", "Digital-twin modeling", "Cascading-consequence analysis", "Monte Carlo stress testing", "Policy and intervention comparison", "Rare-event simulation", "Model-fidelity scoring", "Simulation uncertainty", "Reality-to-simulation calibration", "Detection of simulation assumptions that could invalidate results" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 31, "agent": "H11-ADVERSA", "target_role": "The institutionalized opposition intelligence that is rewarded for finding failure.", "capabilities": [ "Dedicated falsification", "Red-team attack generation", "Deception and manipulation testing", "Cybersecurity and prompt-injection testing", "Edge-case discovery", "Abuse-case modeling", "Assumption attacks", "Evidence-poisoning detection", "Independent challenge authority", "Verification that mitigations survive repeated attacks" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 32, "agent": "H11-LEARN", "target_role": "The governed experience-conversion engine.", "capabilities": [ "Outcome and feedback capture", "Credit assignment across agents", "Lesson extraction", "Skill and strategy distillation", "Routing-policy improvement", "Failure-pattern libraries", "Safe transfer of lessons across domains", "Prevention of contaminated or malicious learning", "Evaluation before lesson promotion", "Forgetting and deprecation of obsolete lessons" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } }, { "index": 33, "agent": "H11-COMPASS", "target_role": "The persistent alignment and objective-coherence governor.", "capabilities": [ "Hierarchical objective modeling", "Human, institutional, project, and operational goal separation", "Goal-drift detection", "Objective-conflict resolution", "Long-term mission preservation", "Means–ends consistency checks", "Alignment under changing conditions", "Prohibition against self-created objectives", "Continuous comparison between actions and authorized intent", "Escalation when value conflicts cannot be resolved technically" ], "capability_count": 10, "authority_model": "bounded-super-specialist", "activation_model": "every-request-fast-contribution; minimum-sufficient deep activation", "artifact_schema": { "goal": "normalized user or system objective", "evidence": "claim-level evidence references with lineage and freshness", "assumptions": "explicit assumptions and unknowns", "confidence": "calibrated confidence from 0 to 1", "constraints": "safety, privacy, authority, budget, time, and operational limits", "result": "bounded specialist contribution", "alternatives": "material alternatives and minority findings", "failure_report": "failed gates, degraded capabilities, and recovery route" }, "evaluation_contract": { "measurable_trace_required": true, "confidence_required": true, "quality_indicators_required": true, "failure_report_required": true, "silent_authority_change_forbidden": true } } ] }