Bin Seol

Self-Consistent Misalignment: Observability Constraints and Structural Consequences in Adaptive Multi-Agent Systems

RT2 specifies self-consistent misalignment as a trajectory where task-relevant mismatch deepens while internal evaluation continues to report health and loses discriminating power. It separates this trajectory definition from mechanisms that might generate it. Conditional informa...

Resolution-Based Information Theory: Degradation Control as a Design Principle for Multi-Agent System Stability

Resolution-Based Information Theory examines how declared generative constraints can be preserved when receivers have limited and changing capacity. It distinguishes task-specific discrimination, intent preservation, and local recoverability. Version 2.0 treats the signed sender-...

Observer Construction Under Observability Constraints: Conditional Requirements for Contamination Detection in Adaptive Multi-Agent Systems

RT3 examines which measurement arrangements preserve task-relevant distinctions when adaptive systems can change their evidence and evaluation rules. It studies directional coverage, evidence retention through aggregation, measurement scope, and timely resource access. Conditiona...

Recovery as Structural Property: Operational Criteria for Restoration Completion in Multi-Agent AI Systems

RT1 proposes a recovery-assessment specification for adaptive multi-agent systems with documented contraction of their operational repertoire. It combines an anchor-relative resolution proxy, bounded output-diversity restoration, and positional-overlap conditions. Certification a...

DFG Interface Contract for RBIT and NAT

This working paper defines the conditional claims exported from Resolution-Based Information Theory to Network Architecture Theory and the measurements required to use them. Version 2.0 retains the I1-I4 interface labels while binding interpretation to the identified companion ma...

Adaptive Governance Control for Near-Critical Multi-Agent Systems: State Estimation, Conditional Control and Withdrawal Tests

This paper proposes a governance controller combining admissible measurement, bounded intervention, and independent tests of recovery after support ends. It asks whether intervention exposure changes endogenous recovery capacity and future support demand. Version 3.0 separates as...

Network Architecture Theory: Topology, Routing, and Expansion Principles for Resolution-Governed Multi-Agent Systems

Network Architecture Theory studies how peer agents can expose task-relevant blind spots while controlling transferred information and authority. Its reference architecture combines sparse communication, calibrated peer coverage, independent processing phases, and contract-sensit...

Critical Phenomena in Multi-Agent Systems: Self Organized Criticality, Correspondence Tests and Limits of Observation

This working paper specifies measurements and falsifiable tests for instability propagation in adaptive multi-agent systems. It distinguishes storm size, duration, observed activity growth, and model-based endogenous reproduction. Version 4.0 addresses event segmentation, finite-...

Three Layer Governance: Runtime Intervention Design and Validation for Adaptive Multi Agent Systems

Three Layer Governance proposes recurring roles for policy governance, mediation, and operational execution within nested adaptive systems. Version 2.0 specifies bounded authority, staged escalation, mediator-drift diagnostics, and recovery comparisons without treating three role...

Governance Rules Theory: Rule Lifecycle, Consistency Measurement, and Safe Withdrawal Conditions in Multi-Agent Systems

Governance Rules Theory specifies a candidate framework for recursive rule governance across agents, groups, and groups of groups. It connects rule formation, validation, revision, and retirement to evidence for reduced oversight and bounded re-engagement. Version 2.0 defines rul...