标题： 多模态和多智能体系统与理性相遇：综述 显示英文标题

标题： Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey

摘要： 理性是指受理性指导的品质，其特点是符合证据和逻辑规则的逻辑思维和决策。 这种品质对于有效的解决问题至关重要，因为它确保解决方案有坚实的基础并系统地得出。 尽管大型语言模型（LLMs）在生成具有显著准确性的类人文本方面取得了进展，但它们会继承训练数据中的偏见，在不同上下文中表现出不一致，并且在理解涉及多层上下文的复杂场景时存在困难。 因此，最近的研究尝试利用多个代理协同工作，结合不同类型的数据和工具，以提高一致性和可靠性。 为此，本文旨在通过调查最新研究，了解多模态和多代理系统是否正在向理性发展，识别在理性方面相对于单代理和单模态系统的进步，并讨论开放问题和未来方向。 我们在 https://github.com/bowen-upenn/MMMA_Rationality 保持一个开放的代码库。 显示英文摘要

摘要： Rationality is the quality of being guided by reason, characterized by logical thinking and decision-making that align with evidence and logical rules. This quality is essential for effective problem-solving, as it ensures that solutions are well-founded and systematically derived. Despite the advancements of large language models (LLMs) in generating human-like text with remarkable accuracy, they present biases inherited from the training data, inconsistency across different contexts, and difficulty understanding complex scenarios involving multiple layers of context. Therefore, recent research attempts to leverage the strength of multiple agents working collaboratively with various types of data and tools for enhanced consistency and reliability. To that end, this paper aims to understand whether multi-modal and multi-agent systems are advancing toward rationality by surveying the state-of-the-art works, identifying advancements over single-agent and single-modal systems in terms of rationality, and discussing open problems and future directions. We maintain an open repository at https://github.com/bowen-upenn/MMMA_Rationality.