Abstract: 【Purpose/significance】The core of automatedandintelligentizedanalysis is the computability of intelligence analysis. Com?
puting-oriented intelligence analysis model is needed to guide the practice of computational intelligence analysis and provide a refer?
ence for intelligence analysis in a big data environment.【Method/process】This article first sorts out the research perspectives of prede? cessors in building intelligence analysis models, and summarize the three elements of intelligence analysis "Task", "Method" and "Da? ta";on this basis, a computing-oriented "task-method-data" three-dimensional multi-layer intelligence analysis model is proposed. The model is composed of a concept layer, a path layer, a technology layer, and an implementation layer，andhasability to achieve up? ward abstraction and downward realization.【Result/conclusion】The computing-oriented intelligence analysis model can assist intelli? gence researchers to build a dynamic and computable intelligence analysis process, that is, it can use the knowledge and wisdom of previous intelligence analysis, and can make full use of the advantages of artificial intelligence technology to help intelligence analysts independently select the best intelligence analysis methods and tools according to intelligence needs and tasks, and build efficient in? telligence processes.【Innovation/limitation】First, a new set of computing-oriented intelligence analysis modeling ideas and methods is proposed. Second, the computational intelligence analysis model can be compatible with traditional intelligence analysis methods and models, not only can it be represented and modeled, but also be transformed into a computer-understandable and executable anal? ysis model.