Cover Image

Counterfactual Reasoning for Causal Responsibility Attribution in Probabilistic Multi-Agent Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mu, Chunyan, Najib, Muhammad
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measuring Responsibility in Multi-Agent Systems
by: Mu, Chunyan, et al.
Published: (2024)

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
by: Chen, Jianming, et al.
Published: (2024)

Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
by: Mu, Chunyan, et al.
Published: (2024)

Synthesis of Reward Machines for Multi-Agent Equilibrium Design (Full Version)
by: Najib, Muhammad, et al.
Published: (2024)

Counterfactual Multi-Agent Policy Gradients
by: Foerster, Jakob, et al.
Published: (2017)

Using Protected Attributes to Consider Fairness in Multi-Agent Systems
by: La Malfa, Gabriele, et al.
Published: (2024)

Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
by: Triantafyllou, Stelios, et al.
Published: (2024)

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs
by: Tang, Ziyi, et al.
Published: (2023)

Visual Reasoning over Time Series via Multi-Agent System
by: Ruan, Weilin, et al.
Published: (2026)

MASFIN: A Multi-Agent System for Decomposed Financial Reasoning and Forecasting
by: Montalvo, Marc S., et al.
Published: (2025)

Position: Towards a Responsible LLM-empowered Multi-Agent Systems
by: Hu, Jinwei, et al.
Published: (2025)

Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)

Counterfactual-based Agent Influence Ranker for Agentic AI Workflows
by: Giloni, Amit, et al.
Published: (2025)

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
by: Li, Wenjin, et al.
Published: (2026)

Where Did It All Go Wrong? A Hierarchical Look into Multi-Agent Error Attribution
by: Banerjee, Adi, et al.
Published: (2025)

SAGE: Multi-Agent Self-Evolution for LLM Reasoning
by: Peng, Yulin, et al.
Published: (2026)

Progressive Multi-Agent Reasoning for Biological Perturbation Prediction
by: Kim, Hyomin, et al.
Published: (2026)

Inverse Attention Agents for Multi-Agent Systems
by: Long, Qian, et al.
Published: (2024)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

SemanticALLI: Caching Reasoning, Not Just Responses, in Agentic Systems
by: Chillara, Varun, et al.
Published: (2026)

Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate
by: Liu, Yiqing, et al.
Published: (2026)

Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration
by: Wang, Zhimin, et al.
Published: (2025)

MAR:Multi-Agent Reflexion Improves Reasoning Abilities in LLMs
by: Ozer, Onat, et al.
Published: (2025)

Modeling Response Consistency in Multi-Agent LLM Systems: A Comparative Analysis of Shared and Separate Context Approaches
by: Helmi, Tooraj
Published: (2025)

BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems
by: Mehandru, Nikita, et al.
Published: (2025)

Adaptive Multi-Agent Response Refinement in Conversational Systems
by: Jeong, Soyeong, et al.
Published: (2025)

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning
by: Yang, Ruiyi, et al.
Published: (2026)

AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
by: Zhao, Xuyang, et al.
Published: (2025)

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems
by: Peigne-Lefebvre, Pierre, et al.
Published: (2025)

Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems
by: Gosmar, Diego, et al.
Published: (2025)

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs
by: Estornell, Andrew, et al.
Published: (2025)

SciAgent: A Unified Multi-Agent System for Generalistic Scientific Reasoning
by: Li, Xuchen, et al.
Published: (2025)

The Bystander Effect in Multi-Agent Reasoning: Quantifying Cognitive Loafing in Collaborative Interactions
by: Shehata, Dahlia, et al.
Published: (2026)

When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
by: Choi, Hyeong Kyu, et al.
Published: (2025)

Multi-Dimensional Summarization Agents with Context-Aware Reasoning over Enterprise Tables
by: Dhanda, Amit
Published: (2025)

When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems
by: Rainone, Corrado, et al.
Published: (2026)

When Single-Agent with Skills Replace Multi-Agent Systems and When They Fail
by: Li, Xiaoxiao
Published: (2026)

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems
by: Li, Keyu, et al.
Published: (2026)

OrgAgent: Organize Your Multi-Agent System like a Company
by: Wang, Yiru, et al.
Published: (2026)

Insider Attacks in Multi-Agent LLM Consensus Systems
by: Sun, Xiaolin, et al.
Published: (2026)