Epi-Logic: A Conceptual Framework for Epistemic Runtime Control, Schema Validity Checking, and Controlled Accommodation in Autonomous AI Agents

arXiv:2609.24755 · cs.AI · Submitted 2026-09-21 · Read on arXiv

cs.AI

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: 26 pages, 1 figure, 1 table

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 28× in this paper · explained in 7 episodes
• AI Agents — 12× in this paper · explained in 2 episodes
• Axioms — 12× in this paper · explained in 2 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Hallucination — 9× in this paper · explained in 4 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Core — 7× in this paper · explained in 2 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Uncertainty Quantification — 5× in this paper · explained in 8 episodes
• Continual Learning — 4× in this paper · explained in 2 episodes
• Multi-Agent System — 4× in this paper · explained in 6 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Self-consistency — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Agentic AI — 2× in this paper · explained in 1 episode
• Agentic System — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• Hallucination Detection — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Verifiability — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Agent Architectures — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• External Validation — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hybrid System — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Metacognition — 1× in this paper · explained in 5 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Self-Evolving Agents — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• On the Reliability Limits of LLM-Based Multi-Agent Planning
• Why Do Multi-Agent LLM Systems Fail?
• STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
• Memory-Induced Tool-Drift in LLM Agents
• The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations
• A Control-Theoretic Foundation for Agentic Systems
• AI-Assisted Engineering Should Track the Epistemic Status and Temporal Validity of Architectural Decisions
• Position: Evaluation Scores Are Perishable Knowledge Claims
• Runtime Governance for AI Agents: Policies on Paths
• From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI
• Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems
• Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
• Towards Out-Of-Distribution Generalization: A Survey
• Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents
• Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence
• Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
• Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution
• Epistemological Fault Lines Between Human and Artificial Intelligence
• Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions
• Hallucination as Context Drift: Synchronization Protocols for Multi-Agent LLM Systems

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