Report
MACI: Multi-Agent Collaborative Intelligence for Adaptive Reasoning and Temporal Planning
| العنوان: | MACI: Multi-Agent Collaborative Intelligence for Adaptive Reasoning and Temporal Planning |
|---|---|
| المؤلفون: | Chang, Edward Y. |
| المصدر: | Stanford University InfoLab Technical Report, 2025 |
| سنة النشر: | 2025 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, F.2.2 |
| الوصف: | Artificial intelligence requires deliberate reasoning, temporal awareness, and effective constraint management, capabilities traditional LLMs often lack due to their reliance on pattern matching, limited self-verification, and inconsistent constraint handling. We introduce Multi-Agent Collaborative Intelligence (MACI), a framework comprising three key components: 1) a meta-planner (MP) that identifies, formulates, and refines all roles and constraints of a task (e.g., wedding planning) while generating a dependency graph, with common-sense augmentation to ensure realistic and practical constraints; 2) a collection of agents to facilitate planning and address task-specific requirements; and 3) a run-time monitor that manages plan adjustments as needed. By decoupling planning from validation, maintaining minimal agent context, and integrating common-sense reasoning, MACI overcomes the aforementioned limitations and demonstrates robust performance in two scheduling problems. Comment: 21 pages, 19 tables |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2501.16689 |
| رقم الانضمام: | edsarx.2501.16689 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |