Tianyanzhi Technology Industry Co., Ltd., Beijing 102600, China
| Abstract: | This study aims to establish a scientific foundation and provide theoretical guidance for the new-quality productivity AGI system, in order to promote the development of its scientific system. To achieve this goal, various methods were adopted, including the integration of scientific computing and cognitive representation, facilitation of multi-role collaboration, upgrading of tool applications, updating of knowledge systems, strengthening of capability frameworks, and optimization of intelligent productivity activity processes. These comprehensive methods have jointly constructed a well-designed theoretical system for new-quality productivity AGI. The research results show that job intelligent agents and role intelligent agents, as the core of new -quality productivity AGI, are built based on six basic principles, providing a solid theoretical foundation for new-quality productivity AGI technology. The significance of this study lies not only in pointing out the direction for the development of the new generation of AGI, but also in revealing the key role of the "Five Pan" algorithm system in promoting the theoretical system of new -quality productivity AGI. It provides theoretical support and practical guidance for the smooth transition between old-quality and new-quality productivity, indicating the huge potential application and significant impact of new-quality productivity AGI technology in the future society. |
| Keywords: | New-Quality Productive Forces NQPF; AGI; AI Scientific System; GPT; Turing Test; Job-Based Agent; Role-Based Agent |
| DOI: | 10.57237/j.jsts.2024.02.001 |
| 1. | 近未来产业领域AI智能体研发基金项目 (基金号: 20240528) |
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