Bin Seol

Environment Design for Stable Learning in Hierarchical Adaptive Systems

Large-scale adaptive multi-agent systems face a structural coordination pressure: under dense interaction, approximately local conflict generation, and bounded governance bandwidth, potential pairwise conflicts scale on the order of O(n2) while absorptive capacity grows sub-quadr...

Cube Domination: Coordination-Frame Collapse, Modular Decomposition, and the Re-emergence of a Dominant Frame

Multi-agent systems sharing a coordination frame can face increasing task interference and a trade-off between modular separation and coordination overhead. This paper connects three explicit submodels: decomposition cost, selection of a new frame under survival and mean-coupling...

Topology-Level Containment with Autonomous Withdrawal: Analytic Conditions for Support-Free Multi-Agent Recovery

Cascading disorientation can arise in adaptive multi-agent systems when degraded orientation at one node destabilizes its neighbors through mutual-reference coupling. This paper asks under what conditions recovery can be achieved by reshaping the conditions of interaction - atten...

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...

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...

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...

Cross-Theory Integration Architecture of the Deficit-Fractal Governance Framework: Typed Interfaces, Conditional Recovery and Claim Provenance

This paper specifies interfaces between Vector Storm Theory, Critical Phenomena, Dynamic Closure, and Adaptive Governance Control. It describes the quantities, measurement routes, action authority, and independently assessed outcomes required to connect instability modeling, infe...

Persistent Failure Modes in Tool Augmented AI Systems: Constraint Use and Trajectory Intervention, Evidence Review and Candidate Monitoring Protocols

This paper reviews recurring failures in tool-augmented AI systems through two analytical axes: retrievable but unused applicable constraints, and intervention outcomes that vary with timing, format, and execution state. Version 2.0 distinguishes harmful from beneficial sensitivi...

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-...

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-...

Relational Reversibility: Structural Conditions for Recovery Capacity Generation in Adaptive Multi-Agent Systems

RT4 studies how interaction changes a declared system's ability to recover after disruption. It distinguishes recovery supplied by current support from capacity retained after earlier cooperative learning or repair, and separates autonomous, assisted, and preparation effects. Sup...

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...

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...

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...

Dynamic Closure of the Deficit-Fractal Governance Framework: Admissibility Conditions, Architecture Dependence, Closure Diagnostics, and Maturation Dynamics

Dynamic Closure examines when multi-agent governance architectures can maintain and recover an operating regime, and how those capabilities might improve with experience. It connects observability, coarse-graining, information cost, and stochastic stability while distinguishing a...

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...

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...

Vector Storm Theory: Instability Dynamics in Multi-Agent Systems

Vector Storm Theory proposes a conditional framework for directional reinforcement, instability propagation, and recovery in multi-agent systems. It distinguishes conflicting amplification from convergent cascades and treats interaction structure separately from agent count. A mi...