Cooperation is vital to our survival and progress. Evolutionary game theory offers a lens to understand the structures and incentives that enable cooperation to be a successful strategy. As artificial intelligence agents become integral to human systems, the dynamics of cooperation take on unprecedented significance. Decentralized frameworks like Web3, grounded in transparency, accountability, and trust, offer a foundation for fostering cooperation by establishing enforceable rules and incentives for humans and AI agents. Guided by our Incentivized Symbiosis model, a paradigm aligning human and AI agent goals through bidirectional incentives and mutual adaptation, we investigate mechanisms for embedding cooperation into human-agent coevolution. We conceptualize Incentivized Symbiosis as part of a contemporary moral framework inspired by Web3 principles, encoded in blockchain technology to define and enforce rules, incentives, and consequences for both humans and AI agents. By integrating these principles into the very architecture of human-agent interactions, Web3 ecosystems catalyze an environment ripe for collaborative innovation. Our study traverses several transformative applications of Incentivized Symbiosis, from decentralized finance to governance and cultural adaptation, illustrating how AI agents can coevolve with humans to forge a trajectory of shared, sustainable progress.

翻译：合作对我们的生存与发展至关重要。演化博弈论为理解促成合作成为成功策略的结构与激励机制提供了理论视角。随着人工智能体日益融入人类系统，合作动力学呈现出前所未有的重要性。以透明度、问责制与信任为基础的Web3等去中心化框架，通过为人类与AI智能体建立可执行的规则与激励机制，为促进合作奠定了基础。在"激励性共生"模型的指导下——该范式通过双向激励与相互适应实现人类与AI智能体目标的对齐——我们研究了将合作机制嵌入人机协同进化的方法。我们将激励性共生概念化为受Web3原则启发的现代道德框架组成部分，通过区块链技术编码以定义并执行针对人类与AI智能体的规则、激励措施及后果。通过将这些原则整合到人机交互的基础架构中，Web3生态系统催生了有利于协同创新的环境。本研究探讨了激励性共生在去中心化金融、治理机制到文化适应等多个变革性领域的应用，阐明了AI智能体如何与人类协同进化，共同开创可持续的共享发展路径。