Saved in:
| Main Authors: | Shyalika, Chathurangi, Jaimini, Utkarshani, Henson, Cory, Sheth, Amit |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.29755 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing
by: Shyalika, Chathurangi, et al.
Published: (2025)
by: Shyalika, Chathurangi, et al.
Published: (2025)
HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph
by: Jaimini, Utkarshani, et al.
Published: (2024)
by: Jaimini, Utkarshani, et al.
Published: (2024)
Influence of Backdoor Paths on Causal Link Prediction
by: Jaimini, Utkarshani, et al.
Published: (2024)
by: Jaimini, Utkarshani, et al.
Published: (2024)
CausalLP: Learning causal relations with weighted knowledge graph link prediction
by: Jaimini, Utkarshani, et al.
Published: (2024)
by: Jaimini, Utkarshani, et al.
Published: (2024)
IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance
by: Shyalika, Chathurangi, et al.
Published: (2026)
by: Shyalika, Chathurangi, et al.
Published: (2026)
A Comprehensive Survey on Rare Event Prediction
by: Shyalika, Chathurangi, et al.
Published: (2023)
by: Shyalika, Chathurangi, et al.
Published: (2023)
Knowledge Graphs of Driving Scenes to Empower the Emerging Capabilities of Neurosymbolic AI
by: Wickramarachchi, Ruwan, et al.
Published: (2024)
by: Wickramarachchi, Ruwan, et al.
Published: (2024)
SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing
by: Shyalika, Chathurangi, et al.
Published: (2025)
by: Shyalika, Chathurangi, et al.
Published: (2025)
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines
by: Shyalika, Chathurangi, et al.
Published: (2025)
by: Shyalika, Chathurangi, et al.
Published: (2025)
Time Series Foundational Models: Their Role in Anomaly Detection and Prediction
by: Shyalika, Chathurangi, et al.
Published: (2024)
by: Shyalika, Chathurangi, et al.
Published: (2024)
Causal-Copilot: An Autonomous Causal Analysis Agent
by: Wang, Xinyue, et al.
Published: (2025)
by: Wang, Xinyue, et al.
Published: (2025)
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing
by: Shyalika, Chathurangi, et al.
Published: (2024)
by: Shyalika, Chathurangi, et al.
Published: (2024)
Neurosymbolic AI for Enhancing Instructability in Generative AI
by: Sheth, Amit, et al.
Published: (2024)
by: Sheth, Amit, et al.
Published: (2024)
AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance
by: Patel, Dhaval, et al.
Published: (2025)
by: Patel, Dhaval, et al.
Published: (2025)
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
by: Prasad, Renjith, et al.
Published: (2024)
by: Prasad, Renjith, et al.
Published: (2024)
Results and Retrospective Analysis of the CODS 2025 AssetOpsBench Challenge
by: Patel, Dhaval, et al.
Published: (2026)
by: Patel, Dhaval, et al.
Published: (2026)
IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
by: Sheth, Ivaxi, et al.
Published: (2026)
by: Sheth, Ivaxi, et al.
Published: (2026)
Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)
by: Trilla, Alexandre, et al.
Published: (2024)
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
Causal Feature Selection for Responsible Machine Learning
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot
by: Song, Zirui, et al.
Published: (2024)
by: Song, Zirui, et al.
Published: (2024)
CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference
by: Zhu, Jiawei, et al.
Published: (2026)
by: Zhu, Jiawei, et al.
Published: (2026)
CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
by: Chai, Qi, et al.
Published: (2025)
by: Chai, Qi, et al.
Published: (2025)
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models
by: Maier, Robert, et al.
Published: (2023)
by: Maier, Robert, et al.
Published: (2023)
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
by: Binkyte, Ruta, et al.
Published: (2026)
by: Binkyte, Ruta, et al.
Published: (2026)
ENCO: Life-Cycle Management of Enterprise-Grade Copilots
by: Zhu, Yiwen, et al.
Published: (2024)
by: Zhu, Yiwen, et al.
Published: (2024)
CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
by: Farahani, Mojtaba A., et al.
Published: (2025)
by: Farahani, Mojtaba A., et al.
Published: (2025)
A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning
by: Zhao, Xuejiao, et al.
Published: (2025)
by: Zhao, Xuejiao, et al.
Published: (2025)
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
by: Vashishtha, Aniket, et al.
Published: (2023)
by: Vashishtha, Aniket, et al.
Published: (2023)
Agent Manufacturing: Foundation-Model Agents as First-Class Industrial Entities
by: Zhang, Yilei
Published: (2026)
by: Zhang, Yilei
Published: (2026)
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)
by: Khandelwal, Vedant, et al.
Published: (2024)
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression
by: Dalal, Sumit, et al.
Published: (2023)
by: Dalal, Sumit, et al.
Published: (2023)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
LLM-based Multi-Agent Copilot for Quantum Sensor
by: Sha, Rong, et al.
Published: (2025)
by: Sha, Rong, et al.
Published: (2025)
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
by: Binkyte, Ruta, et al.
Published: (2025)
by: Binkyte, Ruta, et al.
Published: (2025)
Step-by-Step Causality: Transparent Causal Discovery with Multi-Agent Tree-Query and Adversarial Confidence Estimation
by: Ding, Ziyi, et al.
Published: (2026)
by: Ding, Ziyi, et al.
Published: (2026)
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
by: Hu, Yujiao, et al.
Published: (2023)
by: Hu, Yujiao, et al.
Published: (2023)
PDDLFuse: A Tool for Generating Diverse Planning Domains
by: Khandelwal, Vedant, et al.
Published: (2024)
by: Khandelwal, Vedant, et al.
Published: (2024)
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
by: Triantafyllou, Stelios, et al.
Published: (2023)
by: Triantafyllou, Stelios, et al.
Published: (2023)
Similar Items
-
CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing
by: Shyalika, Chathurangi, et al.
Published: (2025) -
HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph
by: Jaimini, Utkarshani, et al.
Published: (2024) -
Influence of Backdoor Paths on Causal Link Prediction
by: Jaimini, Utkarshani, et al.
Published: (2024) -
CausalLP: Learning causal relations with weighted knowledge graph link prediction
by: Jaimini, Utkarshani, et al.
Published: (2024) -
IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance
by: Shyalika, Chathurangi, et al.
Published: (2026)