用区块链设计人与AI的互惠契约，推动协同进化。
Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution
- 基于Web3理念构建人与AI的可执行合作规则
- 通过激励机制确保双方行为透明可信
- 适合研究人机协作与去中心化系统交叉领域
合作对人类生存与发展至关重要。演化博弈论为理解促成合作的结构与激励机制提供了视角。随着人工智能代理日益融入人类系统，合作动态的重要性空前提升。人机协同、契约理论与以Web3为代表的去中心化框架（强调透明性、问责制和信任）相结合，为建立可执行规则和激励机制奠定基础，促进人类与AI的合作。本文提出「激励共生」范式，将人类与AI视为社会契约关系，借鉴Web3原则并编码于区块链技术中，明确双方的行为规则、激励与后果。通过探索这一范式，旨在推动人工智能系统思维、Web3与社会融合领域的创新研究，开辟人机协同进化的可行路径。
原文摘要 · Abstract (English)
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. The convergence of human-agent teaming, contract theory, and decentralized frameworks like Web3, grounded in transparency, accountability, and trust, offers a foundation for fostering cooperation by establishing enforceable rules and incentives for humans and AI agents. We conceptualize Incentivized Symbiosis as a social contract between humans and AI, inspired by Web3 principles and encoded in blockchain technology, to define and enforce rules, incentives, and consequences for both parties. By exploring this paradigm, we aim to catalyze new research at the intersection of systems thinking in AI, Web3, and society, fostering innovative pathways for cooperative human-agent coevolution.
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