智能体通过通信信号自发形成合作文化，提升群体效率。
Signal Use and Emergent Cooperation
- 用神经编码通信系统让智能体自主学习协作信号。
- 合作文化使部落整体表现显著优于无协作场景。
- 信号促进文化代际传承，适合研究群体智能与社会结构。
本文研究由部落组织的自主智能体如何通过通信信号协调行为、提升集体效率。采用NEC-DAC（神经编码文化-分布式自主通信者）系统，每个智能体配备独立神经网络进行决策，实验表明这些智能体可通过学习与信号交流自发形成共享行为体系——类似文化。研究聚焦部落内文化的自组织过程及其对适应度与合作的影响。分析不同社会结构（如权威层级）后发现，合作文化显著影响部落性能。此外，信号不仅促进文化涌现，还支持其跨代传递。我们还探讨了在单个智能体神经网络中协调行为与信号生成的益处。
原文摘要 · Abstract (English)
In this work, we investigate how autonomous agents, organized into tribes, learn to use communication signals to coordinate their activities and enhance their collective efficiency. Using the NEC-DAC (Neurally Encoded Culture - Distributed Autonomous Communicators) system, where each agent is equipped with its own neural network for decision-making, we demonstrate how these agents develop a shared behavioral system -- akin to a culture -- through learning and signalling. Our research focuses on the self-organization of culture within these tribes of agents and how varying communication strategies impact their fitness and cooperation. By analyzing different social structures, such as authority hierarchies, we show that the culture of cooperation significantly influences the tribe's performance. Furthermore, we explore how signals not only facilitate the emergence of culture but also enable its transmission across generations of agents. Additionally, we examine the benefits of coordinating behavior and signaling within individual agents' neural networks.
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