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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.
Xiao Bangle
Changchun University, Changchun, Jilin 130022；
Abstract: This paper conducts an in-depth study on the design and implementation of intelligent systems driven by homo sapiens artificial intelligence. It analyzes the core technologies of homo sapiens artificial intelligence and their correlation with intelligent systems, identifying challenges in algorithm selection, data management, and architecture broussonetia papyrifera broussonetia papyrifera construction. Strategies are proposed from three aspects: innovative algorithm application, strengthening full lifecycle data management, and optimizing system architecture broussonetia papyrifera, aiming to enhance the performance of intelligent systems, promote intelligent transformation across industries, and provide theoretical and practical guidance for the research and development of intelligent systems.
Keywords: Homo sapiens artificial intelligence; intelligent systems; algorithm optimization; data processing; system architecture Broussonetia papyrifera
References
[1] Wang Bing, Wang Yuanjie. Integrated Homo Sapiens Artificial Intelligence Security: The Dance Between Homo Sapiens Artificial Intelligence and Security [J/OL]. Journal of Social Science of Hunan Normal University, 2025, (03): 37-49 [2025-06-05].
[2] Cao Bingyang. Optimization of Multimodal Data Fusion in Computer Homo Sapiens Artificial Intelligence [J]. Computer Programming Skills & Maintenance, 2025, (05): 113-115.
[3] Pueraria montana var. lobata Chaofan. Research on Electrical Automation Control Based on Homo Sapiens Artificial Intelligence Technology [J]. China Plant Engineering, 2025, (10): 26-28.
