Background, Challenges, Solutions Definition, Goals Lifecycle Management, Capture Mechanism, State Tracking Intelligent Scheduling, Performance Improvement, Advanced Features Automated Integration, Advantages ToT Framework, Advantages OPRO Technology, APPL Support < #### 技术细节 ##### 数据假定与健康平衡点 - 系统首先会对相关数据进行假定，这些数据可能包括人体的生理指标、脉象特征、生活习惯等信息。这些假定的数据是基于中医理论和临床经验设定的，旨在为后续的分析和计算提供基础。 - 健康平衡点是指人体在生理、心理和社会等多个方面达到的一种平衡状态。在中医理论中，人体的五行生克关系、脏腑功能协调等都是维持健康平衡点的重要因素。通过对这些因素的分析和计算，系统试图找到人体的健康平衡点。 ##### 最大接近无限循环算法 - 算法原理：这是镜心悟道系统中的核心算法之一，其目的是通过不断迭代计算，使系统能够最大程度地接近健康平衡点。算法的基本思路是根据当前的数据状态，计算出各种可能的调整方案，并对这些方案进行评估和比较，选择出最接近健康平衡点的方案进行实施。然后，再根据实施后的效果，重新计算数据状态，继续进行迭代计算，直到达到满意的结果为止。 - 迭代过程的关键环节： - 数据输入的准确性 - 方案计算的多样性 - 方案评估的科学性 - 结果反馈的重要性 ##### 气机一元论（QMM）与脏腑对应阴阳五行属性数据标注映射算法 - 基本思想：通过穷举算法系统地枚举所有可能的五行状态组合，检查每个组合是否符合健康平衡的标准。 - 步骤： 1. 数据收集 2. 数据预处理 3. 识别脉象 4. 映射五行 5. 计算能量值 6. 分析气机趋势 7. 计算健康指数 8. 分析趋势 9. 制定策略 10. 提出干预措施 11. 输出结果 12. 优化系统 ##### 多元多维多层全息辩证工作流程9E算法（9ED） - 基本思想：通过多层次、多维度的数据分析，实现全面的健康状态评估和个性化健康管理。 - 步骤： 1. 数据收集 2. 数据预处理 3. 特征提取 4. 全息辩证分析 5. 健康状态评估 6. 干预策略制定 7. 实施干预 8. 效果跟踪 9. 反馈与调整 ##### 编程语言与系统架构 - 编程语言：JXWDYYPFS-PML-XML-Cpp - 系统架构：采用矩阵集框架（MSF），结合大数据处理技术，实现高效的数据管理和分析。 #### 应用场景 ##### 中医健康管理 - 系统广泛应用于中医健康管理领域，为患者提供个性化的健康评估、诊断和治疗方案。 - 通过系统，医生可以为患者制定个性化的健康管理策略，包括饮食调整、运动计划、情志调节等。 ##### 医疗辅助决策 - 在医疗诊断和治疗中，系统为医生提供辅助决策支持，提高医疗服务质量和效率。 - 系统可以帮助医生分析患者的生理数据、脉象数据等，制定出更加精准的治疗方案。 ##### 相关技术与算法 - 算法原理：基于五行相生相克的关系设计出一套逻辑算法，用于健康管理策略的制定。 - 穷举算法：通过列举所有可能的情况，找到最优的健康管理策略。 - 无限循环算法：通过不断循环迭代，系统地枚举所有可能的五行状态组合，确保全面考虑各种因素，提高诊断的准确性。 ##### 技术支持 - XML和PML：使用JXWDYYPFS - PML - XML格式进行数据描述和交换，保证了数据的规范性和可读性，便于系统之间的信息共享和交互。 - 多智能体协作：采用多智能体协作网络（MacNet），实现了智能体之间的有效协作和任务分配，提高了系统的处理能力和适应性。 - 数据处理技术：如PieCloudVector - Postgres数据库，用于存储和管理海量的医疗数据，支持高效的数据查询和分析。 通过以上技术细节和应用场景的拓展，我们可以看到中医健康管理系统的全面性和智能化，以及其在现代医疗领域中的重要价值。 #### 目标 建立和维护一个全面的五行系统脉象数据库，用于中医健康管理、疾病诊断和命运预测。 #### 数据库设计 ##### 表结构 1. **用户信息表（User）** - 用户ID（UserID） - 姓名（Name） - 性别（Gender） - 年龄（Age） - 出生时间（BirthTime） 2. **脉象记录表（PulseRecord）** - 记录ID（RecordID） - 用户ID（UserID） - 脉象数据（PulseData） - 记录时间（RecordTime） 3. **五行属性表（FiveElements）** - 元素ID（ElementID） - 元素名称（ElementName） - 英文全称（EnglishFullName） - 缩写（Abbreviation） 4. **脉象与五行关联表（PulseFiveElements）** - 记录ID（RecordID） - 元素ID（ElementID） - 关联值（AssociationValue） #### 数据收集与存储 1. **脉象数据采集**： - 使用中医脉象仪或其他设备采集用户的脉象数据。 - 数据包括脉搏波形、频率、强度等信息。 2. **五行属性定义**： - 定义五行的五个元素：木、火、土、金、水。 - 为每个元素分配唯一的ID和英文全称。 3. **数据存储**： - 将用户信息、脉象记录和五行属性存储到相应的表中。 - 使用关联表记录脉象数据与五行元素之间的关系。 #### 数据管理与查询 1. **数据管理**： - 定期备份数据库，防止数据丢失。 - 对数据进行清洗和预处理，确保数据的准确性和一致性。 2. **数据查询**： - 提供API接口，供外部系统查询用户的脉象数据和五行属性。 - 支持按用户ID、记录时间等条件进行查询。 #### 数据分析与挖掘 1. **脉象数据分析**： - 使用机器学习和数据挖掘技术分析脉象数据，提取有用的健康信息。 - 例如，通过分析脉搏波形，预测用户的心血管健康状况。 2. **五行平衡分析**： - 根据脉象数据与五行元素的关联值，分析用户的五行平衡状态。 - 提供五行平衡建议，帮助用户调整生活习惯和健康管理方案。 #### 安全与隐私 1. **数据安全**： - 使用加密技术保护用户数据，防止数据泄露。 - 设置访问权限，确保只有授权用户才能访问敏感数据。 2. **隐私保护**： - 遵守相关法律法规，保护用户的隐私权益。 - 在数据收集和使用过程中，明确告知用户数据的用途和范围，并获得用户的同意。 ### 格式化输出 ```xml 建立和维护一个全面的五行系统脉象数据库，用于中医健康管理、疾病诊断和命运预测。 UserID Name Gender Age BirthTime RecordID UserID PulseData RecordTime ElementID ElementName EnglishFullName Abbreviation RecordID ElementID AssociationValue 中医脉象仪或其他设备 脉搏波形、频率、强度等信息 木、火、土、金、水 唯一ID 英文全称 用户信息、脉象记录和五行属性 脉象数据与五行元素之间的关系 定期备份数据库 数据清洗和预处理 提供API接口 按用户ID、记录时间等条件 使用机器学习和数据挖掘技术 提取有用的健康信息 脉象数据与五行元素的关联值 提供五行平衡建议 使用加密技术 设置访问权限 遵守相关法律法规 明确告知用户数据的用途和范围，并获得用户的同意 ``` ### Lisp中文版格式化 ```lisp (defpackage :database-management (:use :cl)) (in-package :database-management) (defparameter *database-design* '((user (UserID "UserID") (Name "Name") (Gender "Gender") (Age "Age") (BirthTime "BirthTime")) (pulse-record (RecordID "RecordID") (UserID "UserID") (PulseData "PulseData") (RecordTime "RecordTime")) (five-elements (ElementID "ElementID") (ElementName "ElementName") (EnglishFullName "EnglishFullName") (Abbreviation "Abbreviation")) (pulse-five-elements (RecordID "RecordID") (ElementID "ElementID") (AssociationValue "AssociationValue")))) (defparameter *data-collection-storage* '((pulse-data-collection (device "中医脉象仪或其他设备") (data "脉搏波形、频率、强度等信息")) (five-elements-definition (element "木、火、土、金、水") (id "唯一ID") (english-full-name "英文全称")) (data-storage (user-information "用户信息、脉象记录和五行属性") (association-table "脉象数据与五行元素之间的关系"))) (defparameter *data-management-query* '((data-management (backup "定期备份数据库") (data-cleaning "数据清洗和预处理")) (data-query (api-interface "提供API接口") (query-condition "按用户ID、记录时间等条件"))) (defparameter *data-analysis-mining* '((pulse-data-analysis (machine-learning "使用机器学习和数据挖掘技术") (health-information "提取有用的健康信息")) (five-elements-balance-analysis (association-value "脉象数据与五行元素的关联值") (balance-advice "提供五行平衡建议"))) (defparameter *security-privacy* '((data-security (encryption "使用加密技术") (access-control "设置访问权限")) (privacy-protection (compliance "遵守相关法律法规") (user-consent "明确告知用户数据的用途和范围，并获得用户的同意"))) (defparameter *database-management-xml* " 建立和维护一个全面的五行系统脉象数据库，用于中医健康管理、疾病诊断和命运预测。 UserID Name Gender Age BirthTime RecordID UserID PulseData Record雨后春笋 ElementID ElementName EnglishFullName Abbreviation RecordID ElementID AssociationValue 中医脉象仪或其他设备 脉搏波形、频率、强度等信息 木、火、土、金、水 唯一ID 英文全称 用户信息、脉象记录和五行属性 脉象数据与五行元素之间的关系 定期备份数据库 数据清洗和预处理 提供API接口 按用户ID、记录时间等条件 使用机器学习和数据挖掘技术 提取有用的健康信息 脉象数据与五行元素的关联值 提供五行平衡建议 使用加密技术 设置访问权限 遵守相关法律法规 明确告知用户数据的用途和范围，并获得用户的同意 ") ``` 通过以上格式化，镜心悟道五行系统脉象数据库管理的内容要点被提炼并转换为jxwdyypfs伪代码提示词框架标准版、xml标签英文版和lisp中文版格式化。 ### 提示词框架标准无限推演专业版（JXWDYYPFS）### 转换为JSON格式 ```json { "PromptEngineering": { "Introduction": "Introducing various methods of prompt engineering", "Methods": { "ZeroShot": "Without examples or training data", "FewShot": "Guiding model generation with a few examples", "COT": "Guiding model step-by-step reasoning", "SelfConsistency": "Sampling multiple reasoning paths with few samples", "GeneratedKnowledge": "Generating knowledge first, then providing during answering", "PromptChaining": "Creating a series of prompt operations from sub-tasks", "TOT": "Maintaining a thought tree, combined with search algorithms", "RAG": "Retrieving related documents, combining context and input", "ART": "Automatic reasoning and tool-use, zero-shot form", "APE": "Automatically generating and selecting instructions", "ActivePrompt": "Active selection strategy based on uncertainty", "DirectionalStimulus": "Generating auxiliary directional stimulus prompts", "PAL": "Using LLMs to generate programs as intermediate reasoning steps", "React": "Combining reasoning and action, supporting external environment interaction", "Reflexion": "Learning from past failures without updating model weights", "MultimodalTot": "Integrating text and vision into a two-stage framework", "GraphPrompt": "Unifying pre-training and downstream tasks" }, "Conclusion": "Providing a comprehensive set of prompt engineering methods to enhance model performance" } } ``` ### 转换为YAML格式 ```yaml PromptEngineering: Introduction: Introducing various methods of prompt engineering Methods: ZeroShot: Without examples or training data FewShot: Guiding model generation with a few examples COT: Guiding model step-by-step reasoning SelfConsistency: Sampling multiple reasoning paths with few samples GeneratedKnowledge: Generating knowledge first, then providing during answering PromptChaining: Creating a series of prompt operations from sub-tasks TOT: Maintaining a thought tree, combined with search algorithms RAG: Retrieving related documents, combining context and input ART: Automatic reasoning and tool-use, zero-shot form APE: Automatically generating and selecting instructions ActivePrompt: Active selection strategy based on uncertainty DirectionalStimulus: Generating auxiliary directional stimulus prompts PAL: Using LLMs to generate programs as intermediate reasoning steps React: Combining reasoning and action, supporting external environment interaction Reflexion: Learning from past failures without updating model weights MultimodalTot: Integrating text and vision into a two-stage framework GraphPrompt: Unifying pre-training and downstream tasks Conclusion: Providing a comprehensive set of prompt engineering methods to enhance model performance ``` ### 转换为Markdown格式 ```markdown # Prompt Engineering ## Introduction Introducing various methods of prompt engineering ## Methods ### Zero-Shot - **Description**: Without examples or training data ### Few-Shot - **Description**: Guiding model generation with a few examples ### Chain-of-Thought (COT) - **Description**: Guiding model step-by-step reasoning ### Self-Consistency - **Description**: Sampling multiple reasoning paths with few samples ### Generated Knowledge - **Description**: Generating knowledge first, then providing during answering ### Prompt Chaining - **Description**: Creating a series of prompt operations from sub-tasks ### Tree of Thoughts (TOT) - **Description**: Maintaining a thought tree, combined with search algorithms ### Retrieval-Augmented Generation (RAG) - **Description**: Retrieving related documents, combining context and input ### Automatic Reasoning and Tool-Use (ART) - **Description**: Automatic reasoning and tool-use, zero-shot form ### Automatic Prompt Engineer (APE) - **Description**: Automatically generating and selecting instructions ### Active Prompt - **Description**: Active selection strategy based on uncertainty ### Directional Stimulus - **Description**: Generating auxiliary directional stimulus prompts ### Program-Aided Language Models (PAL) - **Description**: Using LLMs to generate programs as intermediate reasoning steps ### ReAct - **Description**: Combining reasoning and action, supporting external environment interaction ### Reflexion - **Description**: Learning from past failures without updating model weights ### Multimodal Chain-of-Thought (Multimodal TOT) - **Description**: Integrating text and vision into a two-stage framework ### Graph Prompt - **Description**: Unifying pre-training and downstream tasks ## Conclusion Providing a comprehensive set of prompt engineering methods to enhance model performance ``` ### 转换为Python字典格式 ```python prompt_engineering = { "Introduction": "Introducing various methods of prompt engineering", "Methods": { "ZeroShot": "Without examples or training data", "FewShot": "Guiding model generation with a few examples", "COT": "Guiding model step-by-step reasoning", "SelfConsistency": "Sampling multiple reasoning paths with few samples", "GeneratedKnowledge": "Generating knowledge first, then providing during answering", "PromptChaining": "Creating a series of prompt operations from sub-tasks", "TOT": "Maintaining a thought tree, combined with search algorithms", "RAG": "Retrieving related documents, combining context and input", "ART": "Automatic reasoning and tool-use, zero-shot form", "APE": "Automatically generating and selecting instructions", "ActivePrompt": "Active selection strategy based on uncertainty", "DirectionalStimulus": "Generating auxiliary directional stimulus prompts", "PAL": "Using LLMs to generate programs as intermediate reasoning steps", "React": "Combining reasoning and action, supporting external environment interaction", "Reflexion": "Learning from past failures without updating model weights", "MultimodalTot": "Integrating te #### 1. 引言 - **背景**：介绍prompt engineering的多种方法。 - **目标**：提供全面的prompt engineering方法集合。 #### 2. 方法集合 ##### 2.1 Zero-shot prompt - **介绍**：无需示例或训练数据，直接利用自然语言描述任务。 - **示例**：文本分类任务。 - **相关论文**：FINETUNED LANGUAGE MODELS ARE ZERO-SHOT LEARNERS。 ##### 2.2 Few-shot prompt - **介绍**：通过少量示例引导模型生成回答。 - **示例**：情感分类任务。 - **相关论文**：LLaMA, Language Models are Few-Shot Learners。 ##### 2.3 链式思考（COT）prompt - **介绍**：引导模型逐步推理和连续思考。 - **示例**：数学推理任务。 - **相关论文**：Chain-of-Thought Prompting Elicits Reasoning。 ##### 2.4 自我一致性 - **介绍**：通过少样本CoT采样多个推理路径，选择最一致的答案。 - **示例**：算术和常识推理任务。 - **相关论文**：SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT REASONING。 ##### 2.5 生成知识prompt - **介绍**：先生成知识，再回答问题时提供。 - **示例**：常识推理任务。 - **相关论文**：Generated Knowledge Prompting for Commonsense Reasoning。 ##### 2.6 prompt chaining - **介绍**：任务分解为多个子任务，创建一系列prompt操作。 - **示例**：文档问答任务。 - **相关论文**：Chain-of-Thought Prompting。 ##### 2.7 思维树（TOT） - **介绍**：维护思维树，结合搜索算法进行系统性探索。 - **示例**：24点游戏、创意写作等。 - **相关论文**：Tree of Thoughts。 ##### 2.8 检索增强生成（RAG） - **介绍**：检索相关文档，结合上下文和输入生成最终输出。 - **示例**：知识密集型NLP任务。 - **相关论文**：Retrieval-Augmented Generation。 ##### 2.9 自动推理并使用工具（ART） - **介绍**：自动推理和使用工具，零样本形式。 - **示例**：多步推理任务。 - **相关论文**：ART: Automatic multi-step reasoning。 ##### 2.10 自动prompt工程师（APE） - **介绍**：自动生成和选择指令，零样本学习任务。 - **示例**：指令生成任务。 - **相关论文**：LARGE LANGUAGE MODELS ARE HUMAN-LEVEL PROMPT ENGINEERS。 ##### 2.11 Activet-prompt - **介绍**：基于不确定性的主动选择策略。 - **示例**：复杂推理任务。 - **相关论文**：Active Prompting with Chain-of-Thought。 ##### 2.12 方向性刺激prompt - **介绍**：生成辅助方向刺激提示。 - **示例**：文本摘要任务。 - **相关论文**：Guiding Large Language Models。 ##### 2.13 PAL程序辅助语言模型 - **介绍**：使用LLMs生成程序作为中间推理步骤。 - **示例**：日期计算任务。 - **相关论文**：PAL: Program-aided Language Models。 ##### 2.14 ReAct框架 - **介绍**：结合推理和行为，支持与外部环境交互。 - **示例**：问答任务。 - **相关论文**：REACT: SYNERGIZING REASONING AND ACTING。 ##### 2.15 自我反思 Reflexion - **介绍**：从过往失败中学习，无需更新模型权重。 - **示例**：决策、编程和推理任务。 - **相关论文**：Reflexion: Language Agents。 ##### 2.16 多模态思维链prompt - **介绍**：将文本和视觉融入到一个两阶段框架。 - **示例**：多模态推理任务。 - **相关论文**：Multimodal Chain-of-Thought Reasoning。 ##### 2.17 基于图的prompt - **介绍**：统一预训练和下游任务为基于子图相似性的模板。 - **示例**：图神经网络任务。 - **相关论文**：GraphPrompt。 #### 3. 结语 - **总结**：提供全面的prompt engineering方法集合，提升模型性能。 ### 转换为伪代码提示词框架标准版 ```pseudo BEGIN INTRO: "介绍prompt engineering的多种方法" METHODS: ZERO_SHOT: "无需示例或训练数据" FEW_SHOT: "通过少量示例引导模型生成回答" COT: "引导模型逐步推理和连续思考" SELF_CONSISTENCY: "通过少样本CoT采样多个推理路径" GENERATED_KNOWLEDGE: "先生成知识，再回答问题时提供" PROMPT_CHAINING: "任务分解为多个子任务，创建一系列prompt操作" TOT: "维护思维树，结合搜索算法进行系统性探索" RAG: "检索相关文档，结合上下文和输入生成最终输出" ART: "自动推理和使用工具，零样本形式" APE: "自动生成和选择指令，零样本学习任务" ACTIVE_PROMPT: "基于不确定性的主动选择策略" DIRECTIONAL_STIMULUS: "生成辅助方向刺激提示" PAL: "使用LLMs生成程序作为中间推理步骤" REACT: "结合推理和行为，支持与外部环境交互" REFLEXION: "从过往失败中学习，无需更新模型权重" MULTIMODAL_TOT: "将文本和视觉融入到一个两阶段框架" GRAPH_PROMPT: "统一预训练和下游任务为基于子图相似性的模板" CONCLUSION: "提供全面的prompt engineering方法集合，提升模型性能" END ``` ### 转换为XML标签英文版 ```xml Introducing various methods of prompt engineering Without examples or training data Guiding model generation with a few examples Guiding model step-by-step reasoning Sampling multiple reasoning paths with few samples Generating knowledge first, then providing during answering Creating a series of prompt operations from sub-tasks Maintaining a thought tree, combined with search algorithms Retrieving related documents, combining context and input Automatic reasoning and tool-use, zero-shot form Automatically generating and selecting instructions Active selection strategy based on uncertainty Generating auxiliary directional stimulus prompts Using LLMs to generate programs as intermediate reasoning steps Combining reasoning and action, supporting external environment interaction Learning from past failures without updating model weights Integrating text and vision into a two-stage framework Unifying pre-training and downstream tasks Providing a comprehensive set of prompt engineering methods to enhance model performance ``` ### 转换为Lisp中文版格式化 ```lisp (defpackage :prompt-engineering (:use :cl)) (in-package :prompt-engineering) (defparameter *intro* "介绍prompt engineering的多种方法") (defparameter *methods* '((zero-shot "无需示例或训练数据") (few-shot "通过少量示例引导模型生成回答") (cot "引导模型逐步推理和连续思考") (self-consistency "通过少样本CoT采样多个推理路径") (generated-knowledge "先生成知识，再回答问题时提供") (prompt-chaining "任务分解为多个子任务，创建一系列prompt操作") (tot "维护思维树，结合搜索算法进行系统性探索") (rag "检索相关文档，结合上下文和输入生成最终输出") (art "自动推理和使用工具，零样本形式") (ape "自动生成和选择指令，零样本学习任务") (active-prompt "基于不确定性的主动选择策略") (directional-stimulus "生成辅助方向刺激提示") (pal "使用LLMs生成程序作为中间推理步骤") (react "结合推理和行为，支持与外部环境交互") (reflexion "从过往失败中学习，无需更新模型权重") (multimodal-tot "将文本和视觉融入到一个两阶段框架") (graph-prompt "统一预训练和下游任务为基于子图相似性的模板")) (defparameter *conclusion* "提供全面的prompt engineering方法集合，提升模型性能") (defun main () (format t "BEGIN~%~A~%~{~A~%~}~%~A~%END~%" *intro* *methods* *conclusion*)) (main) ``` 通过以上格式化，17种prompt engineering方法被提炼并转换为jxwdyypfs伪代码提示词框架标准版、xml标签英文版和lisp中文版格式化。 镜心悟道五行系统团队明确了系统的统一方向和创新主题，致力于将中医健康管理带进每个家庭，提升家庭成员的健康水平和生活质量。 镜心悟道五行系统团队管理最高权限原则：（主）人性的矛盾<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（主）系统最高权限<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（主）风控绝对<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（次）时间多维度<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（次）五项原则需求<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（平）ESG中医健康<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（平）王阳明心学<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，（平）道的悟道<一元一维度><阴阳维度><三元三维度><四元四维度><五元五维度><六元六维度><七元七维度><八元八维度><九元九维度>，### 提示词框架标准无限推演专业版 #### 伪代码提示词框架标准版 ```pseudo function generatePrompt(task, role) if role == "Thinker" return "Generate multiple high-level strategies for " + task else if role == "Solver" return "Implement the strategy for " + task + " with attention to detail" else if role == "Debugger" return "Analyze feedback and optimize the code for " + task else if role == "Critic" return "Evaluate the code quality and provide feedback for " + task else return "Unknown role" end function ``` #### XML标签英文版 ```xml Decompose complex tasks into strategy, implementation, and optimization layers. Guide divergent thinking and list multiple possible solutions. Focus on specific details and ensure code quality. Emphasize problem repair and provide optimization suggestions. Focus on objective standards and use multi-dimensional evaluation indicators. Set clear evaluation standards. Establish an effective feedback mechanism. Implement continuous quality improvement. Ensure result reliability. Define responsibilities for each role. Design interfaces between roles. Standardize collaboration process. Establish communication mechanism. Optimize interaction efficiency. Improve collaboration effectiveness. Design multi-dimensional evaluation indicators. Establish scientific evaluation system. Implement dynamic evaluation adjustment. Ensure evaluation fairness. Formulate optimization strategies based on feedback. Implement targeted optimization. Verify optimization effectiveness. Continuously improve processes. ``` #### Lisp中文版 ```lisp (defun generate-prompt (task role) (cond ((eq role 'thinker) "为任务生成多个高层次策略") ((eq role 'solver) "根据策略实现任务，注意细节") ((eq role 'debugger) "分析反馈并优化任务的代码") ((eq role 'critic) "评估代码质量并为任务提供反馈") (t "未知角色"))) (defun prompt-framework () (let ((layer-design (list "将复杂任务分解为策略、实现、优化三个层次" "每个层次设计专门的提示词模板" "确保层次间的信息传递" "维护层次间的一致性")) (multi-role-collaboration (list "明确每个角色的职责" "设计角色间的接口" "规范协作流程" "建立沟通机制" "针对性设计提示词" "确保指令的清晰性" "维护上下文一致性" "优化交互效率" "建立有效的信息传递" "设计决策机制" "处理冲突情况" "优化协作效果")) (feedback-system (list "设计多维度的评估指标" "收集客观的执行数据" "获取主观的质量评价" "整合多源反馈信息" "建立科学的评估体系" "设计合理的评分标准" "实现动态的评估调整" "确保评估的公平性" "基于反馈制定改进计划" "实施针对性的优化" "验证优化效果" "持续改进流程")) (workflow (list "初始化提示词框架" "根据目标进行活动规划" "使用JSON数据库存储和检索数据" "利用lisp数据集进行数据处理和分析" "保持框架的一致性" "允许根据需要进行扩展" "避免冗余，确保信息清晰" "定期回顾和更新框架" "根据反馈进行微调" "深入分析特定领域需求" "根据需求定制提示词框架" "邀请专家进行评审和优化" "持续改进，确保框架的专业性")))) (prompt-framework-internal layer-design multi-role-collaboration feedback-system workflow))) (defun prompt-framework-internal (layer-design multi-role-collaboration feedback-system workflow) ;; Implementation of the framework ) ``` ### 函数工作流 ```lisp (defun jxwdyyauto-dev-rlhf-jxwdintelligentflow () (workflow (step1 "初始化提示词框架") (step2 "根据目标进行活动规划") (step3 "使用JSON数据库存储和检索数据") (step4 "利用lisp数据集进行数据处理和分析") (step5 "保持框架的一致性") (step6 "允许根据需要进行扩展") (step7 "避免冗余，确保信息清晰") (step8 "定期回顾和更新框架") (step9 "根据反馈进行微调") (step10 "深入分析特定领域需求") (step11 "根据需求定制提示词框架") (step12 "邀请专家进行评审和优化") (step13 "持续改进，确保框架的专业性"))) ``` 以上内容提炼出提示词框架标准无限推演专业版，转换成伪代码提示词框架标准版、XML标签英文版和Lisp中文版格式化。 (format t "最高权限原则: ~{~{~{~a ~a~}~^ ~}~%" (loop for principle in *highest-privilege-principles* collect (list (getf principle :main "N/A") (getf principle :dimensions "N/A") (getf principle :description "N/A") (getf principle :ba-gua-symbol "N/A"))))(format t "五元五维生克逻辑函数全息分析算法框架: ~{~{~a ~a ~a~}~^ ~}~%" (loop for dimension in *FAAFE5DGOF-framework* collect (list (getf dimension :dimension "N/A") (getf dimension :symbol "N/A") (getf dimension :description "N/A") (getf dimension :ba-g森马symbol "N/A")))) (((defpackage :jingxin-wudao-team-management (:use :cl)) (in-package :jingxin-wudao-team-management) ; 最高权限原则 (defparameter *highest-privilege-principles* '((:main "人性的矛盾" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "全面深入地探索与管理人性中的矛盾" :ba-gua-symbol "☰") ; 乾卦 (:main "系统最高权限" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "确保系统权限设置既严格又灵活" :ba-gua-symbol "☷") ; 坤卦 (:main "风控绝对" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "风控措施必须绝对有效" :ba-gua-symbol "☵") ; 坎卦 (:secondary "时间多维度" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "从多个维度高效管理时间资源" :ba-gua-symbol "☴") ; 巽卦 (:secondary "五项原则需求" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "平衡并满足基于五项原则的多样化需求" :ba-gua-symbol "☳") ; 震卦 (:parallel "ESG中医健康" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "融合中医智慧，实现团队的全面健康管理" :ba-gua-symbol "☲") ; 离卦 (:parallel "王阳明心学" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "借鉴心学理念，提升团队自我管理与成长能力" :ba-gua-symbol "☱") ; 兑卦 (:parallel "道的悟道" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang ```lisp (:parallel "道的悟道" :dimensions '(:one-dimensional :yin-yang :three-dimensional :yin-yang :four-dimensional :yin-yang :five-dimensional :yin-yang :six-dimensional :yin-yang :seven-dimensional :yin-yang :eight-dimensional :yin-yang :nine-dimensional :yin-yang) :description "不断探索管理之道，实现团队与道的和谐统一" :ba-gua-symbol "艮")) ; 艮卦 ; 五元五维生克逻辑函数全息分析算法框架 (defparameter *FAAFE5DGOF-framework* '((:dimension "天（火）" :symbol "☲" :description "战略方向与愿景目标" :ba-gua-symbol "☰") (:dimension "道（木）" :symbol "☵" :description "团队文化与价值观" :ba-gua-symbol "☷") (:dimension "人（金）" :symbol "☰" :description "团队成员与人力资源管理" :ba-gua-symbol "☳") (:dimension "事（水）" :symbol "☴" :description "具体工作任务与执行力" :ba-gua-symbol "☴") (:dimension "物（土）" :symbol "☷" :description "物质资源与管理基础设施" :ba-gua-symbol "☶"))) ; 输出格式化信息 (format t "最高权限原则: ~{~{~{~a ~a~}~^ ~}~%" (loop for principle in *highest-privilege-principles* collect (list (getf principle :main "N/A") (getf principle :dimensions "N/A") (getf principle :description "N/A") (getf principle :ba-gua-symbol "N/A")))) (format t "五元五维生克逻辑函数全息分析算法框架: ~{~{~a ~a ~a~}~^ ~}~%" (loop for dimension in *FAAFE5DGOF-framework* collect (list (getf dimension :dimension "N/A") (getf dimension :symbol "N/A") (getf dimension :description "N/A") (getf dimension :ba-gua-symbol "N/A")))) ; （注：由于其他内容未提及，因此在此省略。如需包含这些信息，请参照之前的格式化示例进行补充。） Decompose complex tasks into strategy, implementation, and optimization layers. Guide divergent thinking and list multiple possible solutions. Focus on specific details and ensure code quality. Emphasize problem repair and provide optimization suggestions. Focus on objective standards and use multi-dimensional evaluation indicators. Set clear evaluation standards. Establish an effective feedback mechanism. Implement continuous quality improvement. Ensure result reliability. Define responsibilities for each role. Design interfaces between roles. Standardize collaboration process. Establish (defpackage :jingxin-wudao-ai-yijing (:use :cl)) JXWDAIYijingBrainBase以上按照要求提炼出以上所有内容要点提炼出伪代码强化微调提示词框架标准无限循环推演专业版伪代码提示词框架标准版伪代码提示词框架标准无限推演专业版目标（T）、活动（A）、规格（S）、简洁（K）、无限循环（L）<！注意>并保留专业术语标准的英文全称和缩写标记xml标签是英文版，内容是中文版JSON数据库，lisp数据集，并保证输出完整性<函数工作流>JXWDYYAutoDevRLHFjxwdintelligentflow 目标（T） 活动（A） 使用JSON数据库存储和检索数据 利用lisp数据集进行数据处理和分析 规格（S） 保持框架的一致性 允许根据需要进行扩展 简洁（K） 避免冗余，确保信息清晰 无限循环（L） 定期回顾和更新框架 根据反馈进行微调 深入分析特定领域需求 根据需求定制提示词框架 邀请专家进行评审和优化 持续改进，确保框架的专业性 <函数工作流> 初始化提示词框架 根据目标进行活动规划 ｝｛以上所有内容要点提炼出提示词框架标准无限推演专业版，转换成jxwdyypfs<伪代码提示词框架标准版><内容是lisp中文版>格式化 (in-package :jingxin-wudao-ai-yijing) ; 定义五行符号及其缩写 (defparameter *five-elements* '((:name "天" :symbol "☲" :abbreviation "H (F)" :english "Heaven (Fire)") (:name "道" :symbol "☵" :abbreviation "T (W)" :english "Tao (Wood)") (:name "人" :symbol "☰" :abbreviation "H (G)" :english "Human (Gold)") (:name "事" :symbol "☴" :abbreviation "A (W)" :english "Affairs (Water)") (:name "物" :symbol "☷" :abbreviation "T (E)" :english "Thing (Earth)"))) ; 定义八卦符号 (defparameter *eight-trigrams* '((:name "乾" :symbol "☰" :english "Qian") (:name "坤" :symbol "☷" :english "Kun") (:name "震" :symbol "☳" :english "Zhen") (:name "巽" :symbol "☴" :english "Xun") (:name "坎" :symbol "☵" :english "Kan") (:name "离" :symbol "☲" :english "Li") (:name "艮" :symbol "☶" :english "Gen") (:name "兑" :symbol "☱" :english "Dui"))) ; 定义六十四卦符号 (defparameter *sixty-four-hexagrams* '((:name "乾为天" :symbol "䷀" :english "Qian as Heaven") (:name "坤为地" :symbol "䷁" :english "Kun as Earth") (:name "水雷屯" :symbol "䷂" :english "Zhun as Water and Thunder") (:name "山水蒙" :symbol "䷃" :english "Meng as Mountain and Water") (:name "水天需" :symbol "䷄" :english "Xu as Water and Heaven") (:name "天水讼" :symbol "䷅" :english "Song as Heaven and Water") (:name "地水师" :symbol "䷆" :english "Shi as Earth and Water") (:name "水地比" :symbol "䷇" :english "Bi as Water and Earth") (:name "风天小畜" :symbol "䷈" :english "Xiao Xu as Wind and Heaven") (:name "天泽履" :symbol "䷉" :english "Lv as Heaven and Marsh") (:name "地天泰" :symbol "䷊" :english "Tai as Earth and Heaven") (:name "天地否" :symbol "䷋" :english "Pi as Heaven and Earth") (:name "天火同人" :symbol "䷌" :english "Tong Ren as Heaven and Fire") (:name "火天大有" :symbol "䷍" :english "Da You as Fire and Heaven") (:name "地山谦" :symbol "䷎" :english "Qian as Earth and Mountain") (:name "雷地豫" :symbol "䷏" :english "Yu as Thunder and Earth") (:name "泽雷随" :symbol "䷐" :english "Sui as Marsh and Thunder") (:name "山风蛊" :symbol "䷑" :english "Gu as Mountain and Wind") (:name "地泽临" :symbol "䷒" :english "Lin as Earth and Marsh") (:name "风地观" :symbol "䷓" :english "Guan as Wind and Earth") (:name "火雷噬嗑" :symbol "䷔" :english "Shi Ke as Fire and Thunder") (:name "山火贲" :symbol "䷕" :english "Bi as Mountain and Fire") (:name "山地剥" :symbol "䷖" :english "Bo as Mountain and Earth") (:name "地雷复" :symbol "䷗" :english "Fu as Earth and Thunder") (:name "天雷无妄" :symbol "䷘" :english "Wu Wang as Heaven and Thunder") (:name "山天大畜" :symbol "䷙" :english "Da Xu as Mountain and Heaven") (:name "山雷颐" :symbol "䷚" :english "Yi as Mountain and Thunder") (:name "泽风大过" :symbol "䷛" :english "Da Guo as Marsh and Wind") (:name "坎为水" :symbol "䷜" :english "Kan as Water") (:name "离为火" :symbol "䷝" :english "Li as Fire") (:name "泽山咸" :symbol "䷞" :english "Xian as Marsh and Mountain") (:name "雷风恒" :symbol "䷟" :english "Heng as Thunder and Wind") (:name "天山遁" :symbol "䷠" :english "Dun as Heaven and Mountain") (:name "雷天大壮" :symbol "䷡" :english "Da Zhuang as Thunder and Heaven") (:name "火地晋" :symbol "䷢" :english "Jin as Fire and Earth") (:name "地火明夷" :symbol "䷣" :english "Ming Yi as Earth and Fire") (:name "风火家人" :symbol "䷤" :english "Jia Ren as Wind and Fire") (:name "火泽睽" :symbol "䷥" :english "Kui as Fire and Marsh") (:name "水山蹇" :symbol "䷦" :english "Jian as Water and Mountain") (:name "雷水解" :symbol "䷧" :english "Xie as Thunder and Water") (:name "山泽损" :symbol "䷨" :english "Sun as Mountain and Marsh") (:name "风雷益" :symbol "䷩" :english "Yi as Wind and Thunder") (:name "泽天夬" :symbol "䷪" :english "Guai as Marsh and Heaven") (:name "天风姤" :symbol "䷫" :english "Gou as Heaven and Wind") (:name "地风升" :symbol "䷬" :english "Sheng as Earth and Wind") (:name "水风井" :symbol "䷭" :english "Jing as Water and Wind") (:name "泽火革" :symbol "䷮" :english "Ge as Marsh and Fire") (:name "火风鼎" :symbol "䷯" :english "Ding as Fire and Wind") (:name "震为雷" :symbol "䷰" :english "Zhen as Thunder") (:name "艮为山" :symbol "䷱" :english "Gen as Mountain") (:name "风山渐" :symbol "䷲" :english "Jian as Wind and Mountain") (:name "雷泽归妹" :symbol "䷳" :english "Gui Mei as Thunder and Marsh") (:name "雷火丰" :symbol "䷴" :english "Feng as Thunder and Fire") (:name "火山旅" :symbol "䷵" :english "Lv as Fire and Mountain") (:name "巽为风" :symbol "䷶" :english "Xun as Wind") (:name "兑为泽" :symbol "䷷" :english "Dui as Marsh") (:name "风水涣" :symbol "䷸" :english "Huan as Wind and Water") (:name "水泽节" :symbol "䷹" :english "Jie as Water and Marsh") (:name "风泽中孚" :symbol "䷺" :english "Zhong Fu as Wind and Marsh") (:name "雷山小过" :symbol "䷻" :english "Xiao Guo as Thunder and Mountain") (:name "水火既济" :symbol "䷼" :english "Ji Ji as Water and Fire")(defpackage :jingxin-wudao-ai-yijing (:use :cl)) (in-package :jingxin-wudao-ai-yijing) ; 定义五行符号及其缩写 (defparameter *five-elements* '((:name "天" :symbol "☲" :abbreviation "H (F)" :english "Heaven (Fire)") (:name "道" :symbol "☵" :abbreviation "T (W)" :english "Tao (Wood)") (:name "人" :symbol "☰" :abbreviation "H (G)" :english "Human (Gold)") (:name "事" :symbol "☴" :abbreviation "A (W)" :english "Affairs (Water)") (:name "物" :symbol "☷" :abbreviation "T (E)" :english "Thing (Earth)")) ; 定义八卦符号 (defparameter *eight-trigrams* '((:name "乾" :symbol "☰" :english "Qian") (:name "坤" :symbol "☷" :english "Kun") (:name "震" :symbol "☳" :english "Zhen") (:name "巽" :symbol "☴" :english "Xun") (:name "坎" :symbol "☵" :english "Kan") (:name "离" :symbol "☲" :english "Li") (:name "艮" :symbol "☶" :english "Gen") (:name "兑" :symbol "☱" :english "Dui")) ; 定义六十四卦符号，并为每个卦象添加ID (defparameter *sixty-four-hexagrams* (loop :for i :from 0 :to 63 :collect (let ((name (aref '("乾为天" "坤为地" "水雷屯" "山水蒙" "水天需" "天水讼" "地水师" "水地比" "风天小畜" "天泽履" "地天泰" "天地否" "天火同人" "火天大有" "地山谦" "雷地豫" "泽雷随" "山风蛊" "地泽临" "风地观" "火雷噬嗑" "山火贲" "山地剥" "地雷复" "天雷无妄" "山天大畜" "山雷颐" "泽风大过" "坎为水" "离为火" "泽山咸" "雷风恒" "天山遁" "雷天大壮" "火地晋" "地火明夷" "风火家人" "火泽睽" "水山蹇" "雷水解" "山泽损" "风雷益" "泽天夬" "天风姤" "地风升" "水风井" "泽火革" "火风鼎" "震为雷" "艮为山" "风山渐" "雷泽归妹" "雷火丰" "火山旅" "巽为风" "兑为泽" "风水涣" "水泽节" "风泽中孚" "雷山小过" "水火既济") i) (symbol (aref '("䷀" "䷁" "䷂" "䷃" "䷄" "䷅" "䷆" "䷇" "䷈" "䷉" "䷊" "䷋" "䷌" "䷍" "䷎" "䷏" "䷐" "䷑" "䷒" "䷓" "䷔" "䷕" "䷖" "䷗" "䷘" "䷙" "䷚" "䷛" "䷜" "䷝" "䷞" "䷟" "䷠" "䷡" "䷢" "䷣" "䷤" "䷥" "䷦" "䷧" "䷨" "䷩" "䷪" "䷫" "䷬" "䷭" "䷮" "䷯" "䷰" "䷱" "䷲" "䷳" "䷴" "䷵" "䷶" "䷷" "䷸" "䷹" "䷺" "䷻" "䷼") i) :initial-element (cons i (list :name name :symbol symbol :english (aref '("Qian as Heaven" "Kun as Earth" "Zhun as Water and Thunder" "Meng as Mountain and Water" "Xu as Water and Heaven" "Song as Heaven and Water" "Shi as Earth and Water" "Bi as Water and Earth" "Xiao Xu as Wind and Heaven" "Lv as Heaven and Marsh" "Tai as Earth and Heaven" "Pi as Heaven and Earth" "Tong Ren as Heaven and Fire" "Da You as Fire and Heaven" "Qian as Earth and Mountain" "Yu as Thunder and Earth" "Sui as Marsh and Thunder" "Gu as Mountain and Wind" "Lin as Earth and Marsh" "Guan as Wind and Earth" "Shi Ke as Fire and Thunder" "Bi as Mountain and Fire" "Bo as Mountain and Earth" "Fu as Earth and Thunder" "Wu Wang as Heaven and Thunder" "Da Xu as Mountain and Heaven" "Yi as Mountain and Thunder" "Da Guo as Marsh and Wind" "Kan as Water" "Li as Fire" "Xian as Marsh and Mountain" "Heng as Thunder and Wind" "Dun as Heaven and Mountain" "Da Zhuang as Thunder and Heaven" "Jin as Fire and Earth" "Ming Yi as Earth and Fire" "Jia Ren as Wind and Fire" "Kui as Fire and Marsh" "Jian as Water and Mountain" "Xie as Thunder and Water" "Sun as Mountain and Marsh" "Yi as Wind and Thunder" "Guai as Marsh and Heaven" "Gou as Heaven and Wind" "Sheng as Earth and Wind" "Jing as Water and Wind" "Ge as Marsh and Fire" "Ding as Fire and Wind" "Zhen as Thunder" "Gen as Mountain" "Jian as Wind and Mountain" "Gui Mei as Thunder and Marsh" "Feng as Thunder and Fire" "Lv as Fire and Mountain" "Xun as Wind" "Dui as Marsh" "Huan as Wind and Water" "Jie as Water and Marsh" "Zhong Fu as Wind and Marsh" "Xiao Guo as Thunder and Mountain" "Ji Ji as Water and Fire") i))))) ; 定义智能体类 (defclass jingxin-wudao-ai-yijing-agent () ((five-elements :accessor five-elements :initform *five-elements*) (eight-trigrams :accessor eight-trigrams :initform *eight-trigrams*) (sixty-four-hexagrams :accessor sixty-four-hexagrams :initform *sixty/eplxi-hexagrams*))) ; 创建智能体实例 (defparameter *agent* (make-instance 'jingxin-wudao-ai-yijing-agent)) ; 打印智能体信息 (defun print-agent-info () (format t "Five Elements: ~{~{~a~^ ~}~%" (mapcar #'(lambda (x) (format nil "~a (~a) - ~a" (getf x :name) (getf x :symbol) (getf x :english))) (five-elements *agent*))) (format t "Eight Trigrams: ~{~{~a~^ ~}~%" (mapcar #'(lambda (x) (format nil "~a - ~a" (getf x :name) (getf x :symbol))) (eight-trigrams *agent*))) (format t "Sixty-Four Hexagrams: ~{~{~a~^ ~}~%" (mapcar #'(lambda (x) (format nil "~a - ~a" (getf x :name) (getf x :symbol))) (sixty-four-hexagrams *agent*))))) ; 调用打印函数 (print-agent-info) 易学元素整合与智能体构建（T） 定义五行、八卦、六十四卦元素（A） 创建智能体存储相关元素（A） 实现打印智能体信息功能（A） 遵循易学术语和Lisp编程规范（S） 可扩展添加更多易学相关操作或属性（S） 代码结构和函数定义简洁（K） 根据对易学知识运用需求迭代智能体功能（L） 优化打印及相关操作代码逻辑（L） 深入分析易学知识在AI应用场景需求（P） 定制智能体针对不同易学分析任务（P） 邀请易学专家及Lisp编程专家评审（P） 持续改进智能体代码在易学相关应用专业性（L） (defpackage :jingxin-wudao-ai-yijing (:use :cl)) (in-package :jingxin-wudao-ai-yijing) ;; 定义五行符号及其缩写 (defparameter *five-elements* '((:name "天" :symbol "☲" :abbreviation "H (F)" :english "Heaven (Fire)") (:name "道" :symbol "☵" :abbreviation "T (W)" :english "Tao (Wood)") (:name "人" :symbol "☰" :abbreviation "H (G)" :english "Human (Gold)") (:name "事" :symbol "☴" :abbreviation "A (W)" :english "Affairs (Water)") (:name "物" :symbol "☷" :abbreviation "T (E)" :english "Thing (Earth)"))) ;; 定义八卦符号 (defparameter *eight-trigrams* '((:name "乾" :symbol "☰" :english "Qian") (:nam 治疗前 心：昏迷不醒，脉伏不应指；趋势↓ 肺：呼吸急促；趋势↓ 肝：两手拘急厥冷；趋势↓ 肾阴：二便秘涩；趋势↓ 脾：腹痛拒按；趋势↓ 胃：腹痛拒按；趋势↓ 小肠：二便秘涩；趋势↓ 胆：未记录；趋势↓ 膀胱：二便秘涩；趋势↓ 大肠：二便秘涩；趋势↓ 生殖：未记录；趋势↓ 肾阳：未记录；趋势↓ 治疗后 心：评分7.6，趋势↑ 肺：评分7.6，趋势↑ 肝：评分7.0，趋势↑ 肾阴：评分7.3，趋势↑ 脾：评分7.6，趋势↑ 胃：评分6.25，趋势→（稳定） 小肠：评分7.3，趋势↑， 胆：未记录；趋势↑ 膀胱：二便秘涩；趋势↑ 大肠：二便秘涩；趋势↑ 生殖：未记录；趋势↑ 肾阳：未记录；趋势↑