rsn-perceiving-information
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Translation
ChinesePerceiving
感知（Perceiving）
Direct attention. Filter information. Feed thinking.
引导注意力。过滤信息。为思考提供输入。
Core Principle
核心原则
Perception precedes thought. What you attend to determines what you can reason about.
perceiving → thinking → output
↑ │
└────────────┘
(need more data)Bad perception = reasoning on wrong inputs = wrong conclusions.
感知先于思考。你关注的内容决定了你能推理的范围。
perceiving → thinking → output
↑ │
└────────────┘
(need more data)错误的感知 = 基于错误输入的推理 = 错误的结论。
Mode Selection
模式选择
| Mode | Question | Output | Trigger |
|---|---|---|---|
| Scanning | What's out there? | Landscape summary + signals | Broad awareness needed |
| Focusing | What's the detail here? | Deep understanding | Specific signal important |
| Filtering | What's noise vs signal? | Prioritized list | Information overload |
| Triangulating | Do sources agree? | Verified claim | Verification needed |
| Monitoring | Has threshold crossed? | Status + alerts | Continuous watch required |
| Synthesizing | What's the pattern across inputs? | Integrated picture | Multiple signals need combining |
| 模式 | 对应问题 | 输出内容 | 触发场景 |
|---|---|---|---|
| Scanning（扫描） | 外部有什么信息？ | 全景总结 + 关键信号 | 需要全面了解情况时 |
| Focusing（聚焦） | 这里的细节是什么？ | 深度理解内容 | 特定信号至关重要时 |
| Filtering（过滤） | 哪些是噪音，哪些是有效信号？ | 优先级排序列表 | 信息过载时 |
| Triangulating（交叉验证） | 多来源信息是否一致？ | 经过验证的结论 | 需要验证信息时 |
| Monitoring（监控） | 是否达到阈值？ | 状态报告 + 告警 | 需要持续监控时 |
| Synthesizing（整合） | 多输入信息有什么模式？ | 整合后的全景视图 | 需要整合多个信号时 |
Decision Tree
决策树
Do you need broad awareness of a space?
YES → Scanning
NO ↓
Do you need deep understanding of something specific?
YES → Focusing
NO ↓
Are you overwhelmed with information?
YES → Filtering
NO ↓
Do you need to verify something from multiple sources?
YES → Triangulating
NO ↓
Do you need continuous awareness of a condition?
YES → Monitoring
NO ↓
Do you have multiple signals that need integration?
YES → Synthesizing
NO → No perception mode neededDo you need broad awareness of a space?
YES → Scanning
NO ↓
Do you need deep understanding of something specific?
YES → Focusing
NO ↓
Are you overwhelmed with information?
YES → Filtering
NO ↓
Do you need to verify something from multiple sources?
YES → Triangulating
NO ↓
Do you need continuous awareness of a condition?
YES → Monitoring
NO ↓
Do you have multiple signals that need integration?
YES → Synthesizing
NO → No perception mode neededMode Summaries
模式概述
Scanning
Scanning（扫描模式）
Purpose: Broad, shallow attention across a space.
Mental model: Radar sweep—cover maximum area, detect anything notable.
Patterns: Sweep (everything once), Sample (representative subset), Edge (periphery/outliers), Competitive (key players only)
Key rules:
- Bound scope and time (not infinite)
- Note signals, don't investigate yet
- Acknowledge blind spots
- Triage: focus / monitor / ignore
Output: Landscape summary + prioritized signals
→ references/scanning.md
目标： 对某个领域进行广泛、浅层的关注。
心智模型： 雷达扫描——覆盖最大范围，检测所有值得关注的信息。
模式变体： 全面扫描（覆盖所有内容一次）、抽样扫描（选取代表性子集）、边缘扫描（关注外围/异常值）、竞品扫描（仅关注关键参与者）
核心规则：
- 限定范围和时间（不可无限扩展）
- 记录信号，暂不深入调查
- 承认存在盲区
- 分类处理：聚焦/监控/忽略
输出： 全景总结 + 优先级排序的信号
→ references/scanning.md
Focusing
Focusing（聚焦模式）
Purpose: Deep, narrow attention on specific signal.
Mental model: Microscope—sacrifice breadth for depth.
Approaches: Exhaustive (all sources), Targeted (answer specific questions), Iterative (deepen until diminishing returns)
Key rules:
- Define questions before diving in
- State confidence per finding
- Document unknowns
- Extract implications for thinking/action
Output: Detailed understanding with implications
→ references/focusing.md
目标： 对特定信号进行深度、聚焦的关注。
心智模型： 显微镜——牺牲广度换取深度。
实施方法： 穷尽式（覆盖所有来源）、目标式（回答特定问题）、迭代式（深入直到收益递减）
核心规则：
- 深入前先明确问题
- 为每个发现标注置信度
- 记录未知信息
- 提取对思考/行动的影响
输出： 包含影响分析的深度理解内容
→ references/focusing.md
Filtering
Filtering（过滤模式）
Purpose: Separate signal from noise.
Mental model: Coffee filter—let through what matters, block the rest.
Filter types: Threshold, Categorical, Recency, Source, Relevance
Key rules:
- Define criteria before filtering
- Sample filtered-out items (check for false negatives)
- Assess false negative risk
- Adjust criteria if needed
Output: Prioritized list with filtering rationale
→ references/filtering.md
目标： 区分有效信号与噪音。
心智模型： 咖啡过滤器——让重要信息通过，阻挡其余内容。
过滤类型： 阈值过滤、分类过滤、时效性过滤、来源过滤、相关性过滤
核心规则：
- 过滤前先定义标准
- 抽样检查被过滤的内容（排查假阴性）
- 评估假阴性风险
- 必要时调整过滤标准
输出： 带有过滤依据的优先级排序列表
→ references/filtering.md
Triangulating
Triangulating（交叉验证模式）
Purpose: Cross-reference multiple sources for verification.
Mental model: Navigation—fix position from multiple bearings.
Patterns: 3-Independent (strongest), Primary-Secondary, Multi-Method, Temporal
Key rules:
- Verify source independence (not echoes)
- Require ≥3 sources for high-stakes claims
- Investigate conflicts, don't dismiss
- Adjust confidence based on agreement
Output: Verified claim with confidence and caveats
→ references/triangulating.md
目标： 交叉参考多来源信息进行验证。
心智模型： 导航——通过多个方位确定位置。
验证模式： 三独立来源（最可靠）、主辅来源结合、多方法验证、时间维度验证
核心规则：
- 验证来源的独立性（避免重复信息）
- 高风险主张需至少3个来源验证
- 深入调查冲突点，而非忽视
- 根据来源一致性调整置信度
输出： 带有置信度和注意事项的验证结论
→ references/triangulating.md
Monitoring
Monitoring（监控模式）
Purpose: Continuous watch for threshold or condition.
Mental model: Smoke detector—constant vigilance, alert on trigger.
Types: Threshold (value crosses line), Trend (direction changes), Anomaly (deviation from normal), Absence (expected event missing), Combination (multiple conditions)
Key rules:
- Quantify thresholds
- Define severity levels
- Specify response actions
- Tune to prevent alert fatigue
Output: Status report with any alerts
→ references/monitoring.md
目标： 持续监控阈值或特定条件。
心智模型： 烟雾报警器——持续警戒，触发时告警。
监控类型： 阈值型（数值超过临界值）、趋势型（方向变化）、异常型（偏离正常状态）、缺失型（预期事件未发生）、组合型（多条件触发）
核心规则：
- 量化阈值
- 定义严重等级
- 指定响应动作
- 调整阈值以避免告警疲劳
输出： 包含告警的状态报告
→ references/monitoring.md
Synthesizing
Synthesizing（整合模式）
Purpose: Integrate multiple signals into coherent picture.
Mental model: Jigsaw puzzle—assemble pieces into whole.
Methods: Weighted Average (quantitative), Bayesian (probabilistic), Narrative (qualitative story), Framework (structured template)
Key rules:
- Weight inputs by quality/reliability
- Resolve or flag conflicts
- Verify coherence (does synthesis explain all signals?)
- Make testable predictions
Output: Integrated picture ready for thinking
→ references/synthesizing.md
目标： 将多个信号整合成连贯的全景视图。
心智模型： 拼图游戏——将碎片拼接成完整画面。
整合方法： 加权平均（量化）、贝叶斯法（概率）、叙事法（定性故事）、框架法（结构化模板）
核心规则：
- 根据质量/可靠性为输入加权
- 解决或标记冲突点
- 验证连贯性（整合结果是否能解释所有信号）
- 提出可测试的预测
输出： 可直接用于思考的整合全景视图
→ references/synthesizing.md
Output Format
输出格式
Prose, not YAML. Every perceiving output includes:
markdown
undefined使用散文格式，而非YAML。所有Perceiving输出需包含以下内容：
markdown
undefined[Mode]: [Topic]
[Mode]: [Topic]
Summary: [Key finding in 1-2 sentences]
Confidence: [X%] — [Why this confidence level]
Sources: [What was examined]
Signals:
- [Signal 1]: [Relevance] — [Action: focus/monitor/ignore]
- [Signal 2]: [Relevance] — [Action]
Blind spots: [What might be missed]
Next:
- Focus on: [Signals warranting deep dive]
- Monitor: [Signals warranting watch]
- Ready for thinking: [Yes/No — which mode suggested]
---Summary: [Key finding in 1-2 sentences]
Confidence: [X%] — [Why this confidence level]
Sources: [What was examined]
Signals:
- [Signal 1]: [Relevance] — [Action: focus/monitor/ignore]
- [Signal 2]: [Relevance] — [Action]
Blind spots: [What might be missed]
Next:
- Focus on: [Signals warranting deep dive]
- Monitor: [Signals warranting watch]
- Ready for thinking: [Yes/No — which mode suggested]
---Mode Transitions
模式转换
| From | To | Trigger |
|---|---|---|
| Scanning | Focusing | Signal detected worth deep dive |
| Scanning | Monitoring | Signal detected worth watching |
| Focusing | Triangulating | Finding needs verification |
| Monitoring | Focusing | Threshold crossed, need understanding |
| Any | Filtering | Information overload |
| Multiple | Synthesizing | Multiple signals need integration |
| 源模式 | 目标模式 | 触发条件 |
|---|---|---|
| Scanning | Focusing | 检测到值得深入研究的信号 |
| Scanning | Monitoring | 检测到值得持续关注的信号 |
| Focusing | Triangulating | 发现的内容需要验证 |
| Monitoring | Focusing | 达到阈值，需要深入理解 |
| 任意模式 | Filtering | 信息过载 |
| 多模式输出 | Synthesizing | 需要整合多个信号 |
Perceiving → Thinking Handoff
Perceiving → Thinking 交接
| Perceiving Output | Thinking Mode |
|---|---|
| Synthesized landscape | Inductive (find patterns) |
| Verified anomaly | Abductive (diagnose cause) |
| Conflicting signals | Dialectical (resolve conflict) |
| Deep understanding of option | Counterfactual (evaluate) |
| Filtered priorities | Causal (plan actions) |
| Perceiving输出 | 思考模式 |
|---|---|
| 整合后的全景视图 | 归纳式（寻找模式） |
| 已验证的异常 | 溯因式（诊断原因） |
| 冲突的信号 | 辩证式（解决冲突） |
| 对选项的深度理解 | 反事实式（评估） |
| 过滤后的优先级列表 | 因果式（规划行动） |
Anti-Patterns
反模式
| Avoid | Do Instead |
|---|---|
| Boiling the ocean | Bound scope, time-limit scanning |
| Rabbit holes during scanning | Note and move on |
| Confirmation bias | Include disconfirming sources |
| Single source trust | Triangulate important claims |
| Alert fatigue | Tune thresholds, prioritize severity |
| Analysis paralysis | Set criteria, move forward |
| 需避免的行为 | 正确做法 |
|---|---|
| 贪多求全（试图覆盖所有内容） | 限定范围，为扫描设置时间限制 |
| 扫描时陷入细节泥潭 | 记录后继续推进 |
| 确认偏差 | 纳入与结论相悖的信息源 |
| 轻信单一来源 | 对重要主张进行交叉验证 |
| 告警疲劳 | 调整阈值，按严重程度排序 |
| 分析瘫痪 | 设定标准，推进执行 |
References
参考资料
| File | Content |
|---|---|
| scanning.md | Survey patterns and landscape mapping |
| focusing.md | Deep dive methods |
| filtering.md | Noise reduction techniques |
| triangulating.md | Verification patterns |
| monitoring.md | Alert configuration |
| synthesizing.md | Integration methods |
| 文件 | 内容 |
|---|---|
| scanning.md | 调研模式与全景映射 |
| focusing.md | 深度研究方法 |
| filtering.md | 降噪技术 |
| triangulating.md | 验证模式 |
| monitoring.md | 告警配置 |
| synthesizing.md | 整合方法 |