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prai-topic-selection

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在为《模式识别与人工智能》(Pattern Recognition and Artificial Intelligence, PR&AI) 判断一个选题是否契合、以及该写成何种稿件类型时调用。本刊专注模式识别、人工智能、机器学习、计算机视觉、自然语言处理、智能系统等 AI 细分方向，比综合性计算机刊更聚焦 AI，与《自动化学报》(控制为主)、《计算机学报》(全学科)、《软件学报》(系统软件)分工不同。用于评估贡献是否有原创增量、是否落在本刊 AI 学科范围、该投研究论文还是综述、以及是否更适合改投兄弟刊，避免因不符宗旨在初审被退。

Pattern-Recognition-and-Artificial-Intelligence-Skills/skills/prai-topic-selection/SKILL.md

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# 《模式识别与人工智能》选题与栏目定位

在动笔前，先用本技能判断选题是否契合《模式识别与人工智能》(Pattern Recognition and Artificial
Intelligence, PR&AI)。本刊是 CCF 推荐 B 类的模式识别/人工智能**专业**中文月刊，只发表具创新性
学术价值的成果。选错落点是初审退稿的高频原因之一——主题超出本刊 AI 细分范围、或增量不足、或与
兄弟刊更对口，都会在初审被退。事实核验日期 2026-07-09，见 `resources/official-source-map.md`。

## 一、本刊的学科边界

《模式识别与人工智能》聚焦以下 AI 细分方向（Pattern Recognition / Artificial Intelligence 及其
子领域）：

- **模式识别**：分类、聚类、特征提取与选择、统计与结构模式识别、生物特征识别。
- **机器学习**：监督/半监督/无监督/自监督、深度学习、强化学习、迁移与元学习、表示学习。
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