mlsanityData to 7 Oct 2026

Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda

arXiv 2606.13405 ↗First posted 11 Jun 2026cs.AI cs.MAcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

LLM-based agents are entering regulated industries where they automate judgment intensive quality management processes. We argue that symbolic structures already embedded in these domains, including regulations, typed process models, and compliance constraints, should be treated not merely as external monitoring mechanisms but as core architectural components that shape the agent's decision-making and behavior. We propose compliance-by-construction as a complementary paradigm to guardrail-based monitoring: a structural foundation that prevents control-flow violations, while guardrails remain essential for catching semantic errors. We identify a structured set of neuro-symbolic research challenges on foundational and capability level and show that addressing them jointly enables compliance-by-construction. We call on the neuro-symbolic community to engage with regulated process automation as a high impact research domain.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 20 of its 38 references that are in the map. First posted on arXiv 11 Jun 2026.

Builds on

20 of 38 references.

Closest ancestors · 1

Same direction, newest first

  1. 2025Agentic AI Frameworks: Architectures, Protocols, and Design Challenges13 Aug

Other references · 19

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  3. 2023Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Promptingcited by 1,081
  4. 2021A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantificationcited by 777
  5. 2023Robots That Ask For Help: Uncertainty Alignment for Large Language Model Plannerscited by 298
  6. 2020Neurosymbolic AI: The 3rd Wavecited by 253
  7. 2023Conformal Language Modelingcited by 163
  8. 2025ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoningcited by 144
  9. 2020From Statistical Relational to Neuro-Symbolic Artificial Intelligencecited by 63
  10. 2025LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Modelscited by 38
  11. 2025Neuro-Symbolic AI in 2024: A Systematic Reviewcited by 36
  12. 2023Large Language Models can accomplish Business Process Management Taskscited by 34
7 more
  1. 2024Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AIcited by 24
  2. 2020Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoringcited by 20
  3. 2024Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decompositioncited by 14
  4. 2023A Framework for Neurosymbolic Robot Action Planning using Large Language Modelscited by 11
  5. 2023Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspectivecited by 10
  6. 2025QuadSentinel: Sequent Safety for Machine-Checkable Control in Multi-agent Systemscited by 4
  7. 2025Legal Requirements Translation from Lawcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight
  2. 2026MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents
  3. 2025Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components
  4. 2026Agentic Neuro-Symbolic Planning and Commissioning for Human-in-the-Loop Industrial Robotics with Digital Twins
  5. 2026Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents
  6. 2025ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy Agents
  7. 2026Do LLMs Follow Their Own Rules? A Reflexive Audit of Self-Stated Safety Policies
  8. 2026Neuro-Symbolic Computer Use: Learning Reusable Policies for Reliable and Efficient Execution