Self-Monitoring Benefits from Structural Integration: Lessons from Metacognition in Continuous-Time Multi-Timescale Agents
Fuente:
arXiv
Saved in:
| Main Author: | Xie, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
by: Yang, Wei, et al.
Published: (2026)
by: Yang, Wei, et al.
Published: (2026)
Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
by: Liu, Tennison, et al.
Published: (2025)
by: Liu, Tennison, et al.
Published: (2025)
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
by: Shen, Xu, et al.
Published: (2025)
by: Shen, Xu, et al.
Published: (2025)
MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation
by: Wang, Chenyu, et al.
Published: (2026)
by: Wang, Chenyu, et al.
Published: (2026)
Monitor-Generate-Verify (MGV): Formalising Metacognitive Theory for Language Model Reasoning
by: Oh, Nick, et al.
Published: (2025)
by: Oh, Nick, et al.
Published: (2025)
Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
by: Lin, Minhua, et al.
Published: (2026)
by: Lin, Minhua, et al.
Published: (2026)
When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems
by: Rainone, Corrado, et al.
Published: (2026)
by: Rainone, Corrado, et al.
Published: (2026)
Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets
by: Zhang, Simpson, et al.
Published: (2025)
by: Zhang, Simpson, et al.
Published: (2025)
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
by: Zhuang, Ziqing, et al.
Published: (2026)
by: Zhuang, Ziqing, et al.
Published: (2026)
Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics
by: Pattichis, Andreas, et al.
Published: (2026)
by: Pattichis, Andreas, et al.
Published: (2026)
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
by: Ji-An, Li, et al.
Published: (2025)
by: Ji-An, Li, et al.
Published: (2025)
CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning
by: Ma, Siyuan, et al.
Published: (2026)
by: Ma, Siyuan, et al.
Published: (2026)
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring
by: Shaik, Thanveer, et al.
Published: (2023)
by: Shaik, Thanveer, et al.
Published: (2023)
A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure
by: Doğan, Ege Atacan, et al.
Published: (2025)
by: Doğan, Ege Atacan, et al.
Published: (2025)
Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models
by: Tan, Lit Sin, et al.
Published: (2026)
by: Tan, Lit Sin, et al.
Published: (2026)
MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Domain Risks in LLMs
by: Shan, Liang, et al.
Published: (2025)
by: Shan, Liang, et al.
Published: (2025)
Competence-Aware AI Agents with Metacognition for Unknown Situations and Environments (MUSE)
by: Valiente, Rodolfo, et al.
Published: (2024)
by: Valiente, Rodolfo, et al.
Published: (2024)
Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering
by: Kim, Ik-hwan, et al.
Published: (2026)
by: Kim, Ik-hwan, et al.
Published: (2026)
Can Lessons From Human Teams Be Applied to Multi-Agent Systems? The Role of Structure, Diversity, and Interaction Dynamics
by: Muralidharan, Rasika, et al.
Published: (2025)
by: Muralidharan, Rasika, et al.
Published: (2025)
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
by: Ying, Wangyang, et al.
Published: (2026)
by: Ying, Wangyang, et al.
Published: (2026)
SEMAG: Self-Evolutionary Multi-Agent Code Generation
by: Peng, Yulin, et al.
Published: (2026)
by: Peng, Yulin, et al.
Published: (2026)
Operational Noncommutativity in Sequential Metacognitive Judgments
by: Alegre, Enso O. Torres, et al.
Published: (2026)
by: Alegre, Enso O. Torres, et al.
Published: (2026)
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)
by: Jin, Guizhe, et al.
Published: (2025)
Agentic Metacognition: Designing a "Self-Aware" Low-Code Agent for Failure Prediction and Human Handoff
by: Xu, Jiexi
Published: (2025)
by: Xu, Jiexi
Published: (2025)
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
by: Iacob, Alex, et al.
Published: (2025)
by: Iacob, Alex, et al.
Published: (2025)
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent
by: Laurencon, Hugo, et al.
Published: (2024)
by: Laurencon, Hugo, et al.
Published: (2024)
Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation
by: Gmeiner, Frederic, et al.
Published: (2025)
by: Gmeiner, Frederic, et al.
Published: (2025)
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
by: Zhou, Huilin, et al.
Published: (2026)
by: Zhou, Huilin, et al.
Published: (2026)
Before You Interpret the Profile: Validity Scaling for LLM Metacognitive Self-Report
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
SAGE: Multi-Agent Self-Evolution for LLM Reasoning
by: Peng, Yulin, et al.
Published: (2026)
by: Peng, Yulin, et al.
Published: (2026)
MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge through Group Direct Preference Optimization
by: Zhang, Lanxue, et al.
Published: (2025)
by: Zhang, Lanxue, et al.
Published: (2025)
Probabilistic Foundations for Metacognition via Hybrid-AI
by: Shakarian, Paulo, et al.
Published: (2025)
by: Shakarian, Paulo, et al.
Published: (2025)
Lessons from Penetration Tests on Large-Scale Agent Systems
by: Eykholt, Kevin, et al.
Published: (2026)
by: Eykholt, Kevin, et al.
Published: (2026)
From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
by: Li, Qiaomu, et al.
Published: (2025)
by: Li, Qiaomu, et al.
Published: (2025)
MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
by: Liao, Junwei, et al.
Published: (2026)
by: Liao, Junwei, et al.
Published: (2026)
A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
by: Li, Jinhao, et al.
Published: (2025)
by: Li, Jinhao, et al.
Published: (2025)
Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO
by: Sun, Jing
Published: (2026)
by: Sun, Jing
Published: (2026)
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
by: Zhao, Dafang, et al.
Published: (2024)
by: Zhao, Dafang, et al.
Published: (2024)
Evidence for Limited Metacognition in LLMs
by: Ackerman, Christopher
Published: (2025)
by: Ackerman, Christopher
Published: (2025)
Similar Items
-
Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
by: Yang, Wei, et al.
Published: (2026) -
Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
by: Liu, Tennison, et al.
Published: (2025) -
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
by: Shen, Xu, et al.
Published: (2025) -
MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation
by: Wang, Chenyu, et al.
Published: (2026) -
Monitor-Generate-Verify (MGV): Formalising Metacognitive Theory for Language Model Reasoning
by: Oh, Nick, et al.
Published: (2025)