Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System
On the map: LLM reasoning → Reasoning for agents, planning and code
also in 1 more
Abstract (arXiv)
This paper explores the integration of advanced Multi-Agent Systems (MAS) techniques to develop a team of agents with enhanced logical reasoning, long-term knowledge retention, and Theory of Mind (ToM) capabilities. By uniting these core components with optimized communication protocols, we create a novel framework called SynergyMAS, which fosters collaborative teamwork and superior problem-solving skills. The system's effectiveness is demonstrated through a product development team case study, where our approach significantly enhances performance and adaptability. These findings highlight SynergyMAS's potential to tackle complex, real-world challenges.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Placed in Reasoning for agents, planning and code, one of 17 directions in LLM reasoning. Builds on 23 of its 39 references that are in the map. First posted on arXiv 2 Jul 2025.
Builds on
23 of 39 references.
Closest ancestors · 2
Same direction, newest first
- 2024Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning15 Jul
- 2024CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving26 Apr
Other references · 21
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
- 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
- 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
- 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
- 2023A Comprehensive Overview of Large Language Modelscited by 639
- 2020ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Languagecited by 309
- 2023Evaluating Large Language Models in Theory of Mind Taskscited by 217
- 2024Corrective Retrieval Augmented Generationcited by 187
- 2024LLM Multi-Agent Systems: Challenges and Open Problemscited by 119
- 2023A Survey of Reasoning with Foundation Modelscited by 70
9 more
- 2023Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Textcited by 59
- 2024MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPscited by 45
- 2024MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problemscited by 41
- 2019Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queriescited by 22
- 2023Improving Large Language Models in Event Relation Logical Predictioncited by 17
- 2024Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLcited by 14
- 2024ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoningcited by 7
- 2024WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphscited by 6
- 2024Can Language Models Pretend Solvers? Logic Code Simulation with LLMscited by 4
Built on by
Citing papers per year: 2025: 2; 2026: 8.
10 papers.
- 2025On Verifiable Legal Reasoning: A Multi-Agent Framework with Formalized Knowledge Representationscited by 16
- 2026Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systemscited by 5
- 2026Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoringcited by 5
- 2026Structured Decomposition for LLM Reasoning: Cross-Domain Validation and Semantic Web Integrationcited by 1
- 2026From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relationscited by 1
- 2025On the Role of Contextual Information and Ego States in LLM Agent Behavior for Transactional Analysis Dialoguescited by 0
- 2026When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderationcited by 0
- 2026Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signalcited by 0
- 2026Explainable Belief Harmonization under Dynamic Epistemic Partitionscited by 0
- 2026On Measuring Semantic Preservation in Legal Ontology Learningcited by 0
- 2026Explainable Belief Harmonization under Dynamic Epistemic Partitions23 Jul 2026
- 2026From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relations14 Jun 2026
- 2026Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal2 Jun 2026
- 2026On Measuring Semantic Preservation in Legal Ontology Learning30 May 2026
- 2026When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderation4 Apr 2026
- 2026Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring28 Mar 2026
- 2026Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems24 Feb 2026
- 2026Structured Decomposition for LLM Reasoning: Cross-Domain Validation and Semantic Web Integration4 Jan 2026
- 2025On the Role of Contextual Information and Ego States in LLM Agent Behavior for Transactional Analysis Dialogues18 Dec 2025
- 2025On Verifiable Legal Reasoning: A Multi-Agent Framework with Formalized Knowledge Representations31 Aug 2025
Similar, not cited
Close in wording, no citation either way
- 2025Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation
- 2025Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
- 2025OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration
- 2025LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
- 2023LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
- 2025LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios
- 2023Theory of Mind for Multi-Agent Collaboration via Large Language Models
- 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents