实验研究系统 · 智能体与自主系统Experimental research system · Agentic AI Systems
APEX
统计 AgentAPEX
Stats Agent
探索智能体如何参与结构化数据分析,同时保留数据检查、方法依据、执行参数和人工复核。Exploring how agents can participate in structured data analysis while preserving data checks, method rationale, execution parameters and human review.
系统目标System purpose
统计 Agent 不替研究者直接下结论。Stats Agent does not make the research conclusion for the researcher.
一次统计分析是否可信,不只取决于最后的数字。数据缺失如何处理、方法条件是否满足、参数怎样设置,以及研究者能否回到每一步检查,都决定了结果能否被使用。A statistical analysis is not credible because of its final number alone. Missing-data handling, method assumptions, parameter choices and the ability to inspect each step all determine whether a result can be used.
因此,这个实验系统研究的重点是“可审查的分析过程”:智能体负责组织检查与执行,关键判断仍由研究者确认。The experimental focus is therefore an inspectable analysis process: the agent organises checks and execution while consequential judgements remain with the researcher.
分析流程Analysis workflow
记录每一步分析。Record every analytical step.
当前原型围绕结构化研究数据组织四个连续环节。The current prototype organises four connected stages around structured research data.
识别字段类型、缺失值、异常范围与样本结构,先说明数据能够支持什么。Identify field types, missing values, anomalous ranges and sample structure before stating what the data can support.
根据研究问题和数据条件提出候选方法,同时把适用前提交给研究者确认。Propose candidate methods from the question and data conditions, while exposing assumptions for researcher confirmation.
记录数据版本、分析代码、模型参数与人工选择,使同一过程能够被重新运行。Record data versions, analysis code, model parameters and human choices so the process can be run again.
把结果、限制和未解决的问题放在同一记录中,由研究者决定是否接受或调整。Place results, limitations and unresolved questions in one record for the researcher to accept or revise.
可复核记录Reviewable record
系统输出不只有一张结果表。The output is more than a results table.
当前状态Current status
研究原型评估中。Research prototype under evaluation.
APEX 统计 Agent 目前用于研究工作流设计、智能体行为评估和人机协作实验,不作为自动生成统计结论的正式服务。APEX Stats Agent currently supports research workflow design, agent behaviour evaluation and human–agent collaboration experiments. It is not a production service for automatically generating statistical conclusions.
- 系统类型System type
- 实验研究系统Experimental research system
- 当前工作Current work
- 研究流程原型与行为评估Research workflow prototype and behaviour evaluation
- 适用数据Data scope
- 边界清晰的结构化研究数据Clearly scoped structured research data
- 关键原则Key principle
- 重要方法与结论必须经过人工复核Consequential methods and conclusions require human review
共同研究Collaborative research
从一个真实数据集和明确研究问题开始。Start with a real dataset and a clearly defined research question.
适合与需要改进研究分析流程、验证智能体辅助方式或建立可复核记录的研究团队讨论。Suitable for research teams seeking to improve analysis workflows, evaluate agent assistance or establish reviewable records.
讨论联合研究Discuss collaborative research↗