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"Research on Intelligent Agent Systems" is an international open-source Chinese journal focusing on the technological innovation and cross-disciplinary applications of intelligent agents. The published content mainly targets the research and development and industrial application fields of intelligent agent technologies, reflecting the core technological breakthroughs, innovative application models, and new theories and methods of cross-disciplinary integration of intelligent agent systems at home and abroad It serves researchers, engineering technicians and industry practitioners in the field of intelligent agents, facilitating technology transformation and professional quality improvement.
Journal scope Covering core technologies of intelligent agents (autonomous decision-making algorithms, multi-agent collaboration, reinforcement learning applications, etc.), research and development of intelligent agent systems (software-defined intelligent agents, embedded intelligent agents, humanoid robot systems, etc.), implementation of industry applications (industrial intelligent agents, medical intelligent agents, financial intelligent agents, urban governance intelligent agents, etc.), and interdisciplinary integration (intelligent agents and artificial intelligence, Internet of Things, etc.) Various academic achievements such as basic research, technology development, application practice, review and comment, case analysis, and patent interpretation in areas like blockchain, cross-application of digital twins, technical standards and security (ethical norms of agents, data security, system reliability, etc.), and cutting-edge exploration (general artificial agents, brain-computer interface agents, metaverse agents, etc.) Balancing theoretical depth and industrial value, it comprehensively serves academic innovation, technological iteration and industrial upgrading in the field of intelligent agents.
This journal is a high-standard academic publication that has undergone peer review. The editors encourage submissions that are related to this journal and have theoretical and practical contributions.
All manuscripts must not be plagiarized. The author is solely responsible for the content.
Song Jingxuan
Yantai Yeda Investment Promotion and Development Group Co., Ltd. ，Yantai, Shandong ，264006；
Abstract: With the increasing scale and complexity of engineering construction, the shortcomings of traditional engineering estimation methods in terms of accuracy and efficiency are becoming increasingly apparent. The rise of Homo sapiens artificial intelligence technology has brought revolutionary opportunities to engineering estimation. This paper analyzes its pathways and advantages in improving the efficiency of engineering estimation, discusses the challenges faced and corresponding strategies, aiming to provide insights for the intelligent development of the industry.
Keywords: Homo sapiens artificial intelligence; engineering estimation; efficiency improvement
References
[1] Wu Qing. The Relationship and Role Between Engineering Estimation Budgeting and Engineering Design[J]. Housing and Real Estate, 2019, (33):30.
[2] Sun Zhijun, Xue Lei, Xu Yangming, et al. A Survey on Deep Learning Research[J]. Application Research of Computers, 2012, 29(08):2806-2810.
[3] Guo Kaiming. The Development of Homo Sapiens Artificial Intelligence, Industrial Structure Broussonetia Papyrifera Transformation and Upgrading, and Changes in Labor Income Share[J]. Management World, 2019, 35(07):60-77+202-203.
