Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916824120033280 |
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| author | Kostka, Adam Chudziak, Jarosław A. |
| author_facet | Kostka, Adam Chudziak, Jarosław A. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02170 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System Kostka, Adam Chudziak, Jarosław A. Multiagent Systems 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. |
| title | Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2507.02170 |