[目的/意义]在大国关键技术与资源领域的竞争战略博弈日益激烈背景下，选取战略布局梳理问题探索人智协作模式，助我国取得认知对抗优势。[方法/过程]文章分析了情报认知环节的要求与特征，将情报认知环节划分为资源知觉、知识表征、事实整编3个环节，并根据各环节中的人工方法与智能辅助技术的具体实施方式构建了结合二者之长的人智协作模式。进一步以美某项目战略布局梳理为例评估所构建的人智协作模式的效果，比较各情报认知环节下的优劣。[结果/结论]文章构建的人智协作模式在资源知觉和知识表征环节以智能辅助技术为主，适当补充人工方法；在事实整编环节以人工方法为主，以智能辅助技术为参照。实证结果显示该作业模式更加有效，有助于形成对战略布局梳理的情报图景的精准、全面擘画。

[Purpose/significance] Against the backdrop of intensifying strategic rivalry among major powers over critical technologies and resources, this study investigates strategic layout organization to explore human-AI collaborative
models, so as to help our country acquire superiority in cognitive confrontation. [Method/process] This paper analyses the requirements and characteristics of intelligence cognition processes, categorizing them into three stages: resource perception, knowledge representation, and fact integration. Based on the specific implementation methods of manual approaches and intelligent assistance technologies within each stage, a human-AI collaborative model integrating the strengths of both has been established. Furthermore, this paper evaluates the effectiveness of the constructed human-AI collaborative model by examining the strategic layout of the US project as a case study, comparing the advantages and disadvantages across each intelligence cognition stage. [Result/conclusion] The human-AI collaborative model developed in this paper employs intelligent assistive technologies as the primary approach in resource perception and knowledge representation, supplemented appropriately by manual methods. In the fact compilation stage, manual methods take precedence with intelligent assistive technologies serving as reference. Empirical findings indicate this operational model proves more effective, facilitating the precise and comprehensive mapping of intelligence landscapes for organizing strategic layout.