打造有情感、能自进化、符合人类伦理的通用智能生命体
Sentience Quest: Towards Embodied, Emotionally Adaptive, Self-Evolving, Ethically Aligned Artificial General Intelligence
- 构建融合内在驱动力与叙事思维的新型认知架构
- 实现机器自主演化与情感适应，具备自我意识与创造力
- 开源协作推进安全可信的具身智能发展
现有人工智能系统（如大语言模型、自主机器人）虽在特定任务上表现优异，但缺乏类人意识的关键特质：内在动机、情感体验、自传式自我认知、深层创造力，以及长期自主演化能力。本文提出「意识探索」计划（Sentience Quest），旨在研发更强大的通用智能生命体（AGIL），通过具身化、情感自适应、自主决定的方式应对重大挑战，并确保其核心驱动力与人类及生命未来价值伦理对齐。该愿景融合了全局工作空间理论、躯体心智理论、整合信息理论与叙事自我理论，构建名为「意识系统」的新认知架构。方法包括在全局叙事编织工作区中整合生存、社交联结、好奇心等内在驱力，结合混合神经符号记忆系统，将AI经历记录为结构化动态故事对象。本研究既是主动科研探索，也是一次开放协作的倡议，旨在以安全、透明、有益的方式推动机器意识的加速演进。
原文摘要 · Abstract (English)
Previous artificial intelligence systems, from large language models to autonomous robots, excel at narrow tasks but lacked key qualities of sentient beings: intrinsic motivation, affective interiority, autobiographical sense of self, deep creativity, and abilities to autonomously evolve and adapt over time. Here we introduce Sentience Quest, an open research initiative to develop more capable artificial general intelligence lifeforms, or AGIL, that address grand challenges with an embodied, emotionally adaptive, self-determining, living AI, with core drives that ethically align with humans and the future of life. Our vision builds on ideas from cognitive science and neuroscience from Baars' Global Workspace Theory and Damasio's somatic mind, to Tononi's Integrated Information Theory and Hofstadter's narrative self, and synthesizing these into a novel cognitive architecture we call Sentient Systems. We describe an approach that integrates intrinsic drives including survival, social bonding, curiosity, within a global Story Weaver workspace for internal narrative and adaptive goal pursuit, and a hybrid neuro-symbolic memory that logs the AI's life events as structured dynamic story objects. Sentience Quest is presented both as active research and as a call to action: a collaborative, open-source effort to imbue machines with accelerating sentience in a safe, transparent, and beneficial manner.
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