# AI执行计划：社会学视角下AI核心问题与学科使命

**执行主体**：AI研究助手  
**执行周期**：2025-11-18 09:00 至 2025-11-21 17:00  
**执行模式**：全自动流水线  
**监控频率**：每小时输出执行日志  

## ⚠️ 执行核心约束（必须严格遵守）

### 📋 数据真实性约束
1. **禁止虚构案例**：不得假设、编造、虚构任何案例数据
2. **禁止伪造数据**：所有数据必须基于真实、可验证的来源
3. **强制核验机制**：每一条数据都必须经过真实性验证
4. **可访问性原则**：所有数据源必须公开可访问和下载

### 📚 文献真实性约束
1. **禁止虚造文献**：不得编造任何文献引用
2. **存在性核验**：必须验证每篇文献的真实存在性
3. **公开获取验证**：确保所有文献可通过公开渠道访问
4. **DOI/URL验证**：验证所有文献标识符的有效性

### 📄 学术规范约束
1. **期刊发表格式**：最终报告必须符合学术期刊公开发表格式
2. **引用规范**：严格遵循APA或相应学科的引用规范
3. **学术诚信**：确保学术诚信，避免任何形式的学术不端
4. **同行评议标准**：内容质量达到同行评议期刊标准

### 🧠 学科智慧赋能约束
1. **深度学科分析**：深入研究社会学核心智慧价值
2. **AI赋能评估**：识别最值得赋能AI和智能体的社会学智慧
3. **突破点探索**：探索社会学在AI/智能体领域的可能突破方向
4. **跨学科整合**：分析社会学与其他学科在AI领域的交叉创新

### 🧠 社会学智慧深度分析要求

**核心社会学智慧领域**：
1. **理论社会学智慧**：社会结构、社会功能、社会变迁
2. **文化社会学智慧**：文化认同、文化冲突、文化适应
3. **经济社会学智慧**：社会网络、信任机制、经济行为
4. **政治社会学智慧**：权力结构、政治参与、社会治理
5. **组织社会学智慧**：组织行为、制度分析、集体行动
6. **社会心理学智慧**：社会认同、社会影响、群体行为
7. **数字社会学智慧**：网络社会、数字社区、虚拟互动

**AI赋能社会学智慧优先级**：
- **高优先级**：社会网络、信任构建、群体行为、社会结构
- **中优先级**：文化适应、组织分析、制度变迁、社会分层
- **探索优先级**：虚拟社区、数字身份、算法社会、网络权力

## 🎯 执行原则与质量门控

### 执行前验证清单
- [x] 理解并接受所有核心约束条件
- [x] 数据真实性验证流程已建立
- [x] 文献核验机制已部署
- [x] 学术格式规范已确认
- [x] 学科智慧分析框架已建立

### 质量门控标准
- **真实性门控**：每条数据、案例、文献都必须通过真实性验证
- **可验证性门控**：所有引用、数据都具备可验证的获取路径
- **学术性门控**：内容、格式符合期刊发表标准
- **创新性门控**：学科智慧分析具备原创性和突破性

## 🚀 执行阶段一：文献检索与知识图谱构建

**执行时间**：2025-11-18 09:00-12:00  
**执行工具**：web_search, todo_write, write_file  

### 1.1 批量文献检索与真实性验证

**执行指令**：
```python
# 社会学文献检索策略
sociology_literature_search_queries = [
    ("artificial intelligence social impact social structures inequality 2023-2024", 20),
    ("AI and social change community disruption", 15),
    ("public perception of AI social acceptance trust 2023-2024", 20),
    ("AI adoption barriers social factors", 15),
    ("AI and collective behavior group dynamics social networks 2023-2024", 20),
    ("algorithmic influence on social behavior", 15),
    ("Sherry Turkle alone together AI sociality", 10),
    ("danah boyd social media algorithm society", 10),
    ("Zeynep Tufekci AI social movements", 10),
    ("Manuel Castells network society AI", 10)
]

# 检索并验证文献真实性
verified_literature = []
for query, limit in sociology_literature_search_queries:
    search_results = web_search(query=query, limit=limit)

    for result in search_results:
        # 真实性验证流程
        literature_validation = validate_literature(result)

        if literature_validation['is_real']:
            # 核验公开可访问性
            accessibility = verify_public_access(result['url'], result['doi'])

            if accessibility['is_accessible']:
                # 验证文献存在性
                existence = confirm_literature_existence(result['title'], result['authors'], result['year'])

                if existence['exists']:
                    # 社会学学科特异验证
                    sociology_discipline_validation = validate_sociology_discipline(result)

                    if sociology_discipline_validation['is_sociology_discipline']:
                        verified_literature.append({
                            'title': result['title'],
                            'authors': result['authors'],
                            'year': result['year'],
                            'journal': result.get('journal', ''),
                            'doi': result.get('doi', ''),
                            'url': result.get('url', ''),
                            'abstract': result.get('abstract', ''),
                            'sociology_branch': sociology_discipline_validation['branch'],
                            'validation_status': 'verified',
                            'accessibility': accessibility['method']
                        })
                        todo_write(task=f"已验证社会学文献：{result['title']}", status="completed")
                    else:
                        todo_write(task=f"非社会学学科文献：{result['title']}", status="failed")
                else:
                    todo_write(task=f"文献不存在：{result['title']}", status="failed")
            else:
                todo_write(task=f"文献不可访问：{result['title']}", status="failed")
        else:
            todo_write(task=f"文献虚假：{result['title']}", status="failed")

# 保存已验证文献列表
write_file("verified_sociology_literature.json", verified_literature)
```

**社会学文献验证函数**：
```python
def validate_sociology_discipline(literature_item):
    """验证社会学学科特异性"""
    sociology_branches = {
        'theoretical_sociology': ['social theory', 'structural functionalism', 'social action', 'social systems'],
        'cultural_sociology': ['culture', 'identity', 'socialization', 'cultural capital', 'symbolic interactionism'],
        'economic_sociology': ['social network', 'trust', 'embeddedness', 'social capital', 'economic sociology'],
        'political_sociology': ['power', 'authority', 'social movements', 'political participation', 'civil society'],
        'organizational_sociology': ['bureaucracy', 'organizational behavior', 'institutional analysis', 'collective action'],
        'digital_sociology': ['network society', 'digital divides', 'virtual communities', 'algorithmic society', 'platform power']
    }

    identified_branches = []
    for branch, keywords in sociology_branches.items():
        if contains_keywords(literature_item.get('title', '') + ' ' + literature_item.get('abstract', ''), keywords):
            identified_branches.append(branch)

    return {
        'is_sociology_discipline': len(identified_branches) > 0,
        'branch': identified_branches[0] if identified_branches else 'general_sociology',
        'branch_confidence': len(identified_branches) / len(sociology_branches)
    }
```

**验证标准**：
- 检索结果≥80篇，验证通过≥50篇
- 所有验证通过文献必须具备社会学学科特异性
- 文献验证通过率≥60%
- 包含至少5个社会学分支的代表性文献
**失败处理**：
- 检索失败自动重试3次，每次间隔5分钟
- 验证失败文献记录详细原因并重新检索替代文献
- 总验证失败率>40%时暂停执行并人工介入

### 1.2 文献知识图谱构建

**执行指令**：
```python
# 读取检索结果
read_file("literature_search_results.json")

# 提取核心信息（标题、作者、摘要、关键词）
search_file_content(pattern="title|author|abstract|keyword", extract_all=True)

# 构建知识图谱节点
for each_paper in papers:
    node = {
        "id": paper.doi,
        "title": paper.title,
        "authors": paper.authors,
        "year": paper.year,
        "keywords": paper.keywords,
        "citations": paper.citation_count
    }
    todo_write(task=f"文献节点：{paper.title}", status="completed")

# 构建知识图谱边（引用关系、主题相似度）
for i, paper1 in enumerate(papers):
    for j, paper2 in enumerate(papers[i+1:]):
        similarity = calculate_similarity(paper1.keywords, paper2.keywords)
        if similarity > 0.6:
            todo_write(task=f"文献关联：{paper1.title} ↔ {paper2.title}", status="completed")
```

**验证标准**：知识图谱节点≥50，边≥100  
**交付成果**：literature_knowledge_graph.json  

### 1.3 研究空白识别

**执行指令**：
```python
# 分析知识图谱
analyze_graph(literature_knowledge_graph.json)

# 识别研究密集区
cluster1 = find_dense_cluster("social impact")
cluster2 = find_dense_cluster("community change")
cluster3 = find_dense_cluster("group dynamics")

# 识别研究空白
research_gaps = []
if not connection_between(cluster1, cluster2):
    research_gaps.append("AI社会影响与社区变迁的交叉研究")
if not connection_between(cluster1, cluster3):
    research_gaps.append("AI对群体行为与社会结构的综合影响研究")
if not connection_between(cluster2, cluster3):
    research_gaps.append("社区变迁中AI对群体互动的影响研究")
if not connection_between(cluster1, find_dense_cluster("social capital")):
    research_gaps.append("AI与社会资本关系的深度研究")
if not connection_between(cluster3, find_dense_cluster("social institutions")):
    research_gaps.append("AI对社会制度的影响机制研究")

# 输出研究空白清单
todo_write(task="研究空白识别", status="completed", details=research_gaps)
```

**验证标准**：识别≥5个研究空白  
**交付成果**：research_gaps.json  

## 🤖 执行阶段二：内容框架生成

**执行时间**：2025-11-18 14:00-17:00  
**执行工具**：write_file, multi_edit, replace  

### 2.1 报告框架生成

**执行指令**：
```python
template = {
    "title": "社会学权威视角：AI核心问题与学科使命",
    "sections": {
        "introduction": {"word_count": 1000, "key_points": ["AI社会困境", "社会学使命"]},
        "problem1": {"word_count": 2000, "title": "AI社会关系建构能力缺失", "sub_points": ["缺乏社会学原理内置", "AI无法构建社会关系"]},
        "problem2": {"word_count": 2000, "title": "AI社会文化适应能力不足", "sub_points": ["AI无法理解社会文化", "AI缺乏文化适应性"]},
        "problem3": {"word_count": 2000, "title": "AI社会治理参与能力缺失", "sub_points": ["AI无社会公民意识", "AI无法参与社会治理"]},
        "contribution": {"word_count": 3000, "title": "社会学的独特贡献", "sub_points": ["社会学理论AI内置化", "AI社会关系构建算法", "社会学驱动的AI治理系统"]},
        "agenda": {"word_count": 2000, "title": "高瞻远瞩的研究议程", "sub_points": ["社会学理论AI移植", "AI社会算法技术", "社会学驱动的AI系统"]},
        "conclusion": {"word_count": 1000, "title": "结论与展望", "key_points": ["研究使命", "行动号召"]}
    }
}

write_file("report_framework.json", template)
```

**验证标准**：框架包含≥7个主要部分，总字数≥15000字  
**交付成果**：report_framework.json  

### 2.2 核心论点生成

**执行指令**：
```python
# 基于研究空白生成核心论点
for gap in research_gaps:
    if "社会影响" in gap:
        thesis1 = "AI系统需要内置社会学的符号互动论和社会建构理论，理解社会现象的建构本质"
        write_file("thesis_social_constructivism.md", thesis1)
    if "社区变迁" in gap:
        thesis2 = "AI系统需要应用社区社会资本理论，理解AI对社区网络和信任关系的影响"
        write_file("thesis_community_capital.md", thesis2)
    if "群体行为" in gap:
        thesis3 = "AI系统需要整合社会网络理论，理解群体动态和影响力传播机制"
        write_file("thesis_social_networks.md", thesis3)
    if "社会资本" in gap:
        thesis4 = "AI系统需要内置社会资本理论，增强社会关系网络的构建与维护能力"
        write_file("thesis_social_capital.md", thesis4)
    if "社会制度" in gap:
        thesis5 = "AI系统需要理解制度社会学原理，提升对社会制度的适应和参与能力"
        write_file("thesis_institutional_theory.md", thesis5)
```

**验证标准**：生成≥5个核心论点  
**交付成果**：thesis_*.md (5个文件)

### 2.3 真实案例库构建与验证

**执行指令**：
```python
# 真实案例搜索策略
real_case_search_queries = [
    ("Facebook social media impact empirical study", 5),
    ("TikTok algorithm youth culture research data", 5),
    ("AI facial recognition social surveillance case study", 5),
    ("Algorithmic bias social media feeds analysis", 5),
    ("AI smart city social governance evaluation", 5),
    ("ChatGPT social interaction empirical research", 5),
    ("AI automation job displacement statistics", 5),
    ("Social robot human interaction field study", 5)
]

# 真实案例验证与收集
verified_cases = []
for query, limit in real_case_search_queries:
    search_results = web_search(query=query, limit=limit)

    for result in search_results:
        # 真实案例验证流程
        case_validation = validate_case_realism(result)

        if case_validation['is_real_case']:
            # 数据真实性核验
            data_validation = verify_case_data(result)

            if data_validation['has_real_data']:
                # 来源可信度验证
                source_validation = verify_source_credibility(result)

                if source_validation['is_reliable']:
                    verified_case = {
                        'case_id': generate_case_id(),
                        'title': result.get('title', ''),
                        'authors': result.get('authors', []),
                        'institution': result.get('institution', ''),
                        'publication_year': result.get('year', ''),
                        'data_source': result.get('data_source', ''),
                        'methodology': result.get('methodology', ''),
                        'sample_size': result.get('sample_size', ''),
                        'real_world_context': result.get('context', ''),
                        'findings': result.get('findings', ''),
                        'sociology_insight': extract_sociology_aspect(result),
                        'argument_support': map_to_argument(result),
                        'validation_status': 'verified_real',
                        'accessibility': verify_case_accessibility(result),
                        'data_fields': extract_data_fields(result)
                    }
                    verified_cases.append(verified_case)
                    write_file(f"case_{verified_case['case_id']}.json", verified_case)
                    todo_write(task=f"已验证真实案例：{result['title']}", status="completed")
                else:
                    todo_write(task=f"案例来源不可信：{result['title']}", status="failed")
            else:
                todo_write(task=f"案例数据不真实：{result['title']}", status="failed")
        else:
            todo_write(task=f"案例非真实：{result['title']}", status="failed")

# 生成案例真实性报告
case_validation_report = generate_case_report(verified_cases)
write_file("verified_cases_report.json", case_validation_report)
```

**真实案例验证函数**：
```python
def validate_case_realism(case_item):
    """验证案例真实性"""
    realism_checks = {
        'has_specific_title': bool(case_item.get('title')) and len(case_item['title']) > 10,
        'has_authors': bool(case_item.get('authors')) and len(case_item['authors']) > 0,
        'has_institution': bool(case_item.get('institution')),
        'has_publication_date': bool(case_item.get('year')),
        'has_methodology': bool(case_item.get('methodology')),
        'has_data_evidence': bool(case_item.get('data_source')),
        'not_hypothetical': 'hypothetical' not in case_item.get('title', '').lower(),
        'not_simulated': 'simulation' not in case_item.get('methodology', '').lower(),
        'has_real_world_context': bool(case_item.get('context')),
        'not_generic_case': not is_generic_case_description(case_item.get('title', ''))
    }

    is_real_case = all(realism_checks.values())
    return {'is_real_case': is_real_case, 'checks': realism_checks}
```

**验证标准**：
- 收集≥8个经过严格验证的真实案例
- 每个案例必须通过真实性、数据真实性、来源可信度三重验证
- 案例验证通过率≥70%
- 所有案例数据必须基于真实世界观察和测量
**交付成果**：
- case_*.json (8-10个验证过的真实案例文件)
- verified_cases_report.json (案例验证报告)
- case_accessibility_report.json (案例可访问性报告)

## 🤖 执行阶段三：内容生成与整合

**执行时间**：2025-11-19 09:00-17:00  
**执行工具**：write_file, replace, multi_edit  

### 3.1 批量内容生成

**执行指令**：
```python
# 生成引言部分
introduction = generate_section(
    template="introduction",
    key_points=["AI社会困境", "社会学使命"],
    word_count=1000,
    style="authoritative"
)
write_file("01_introduction.md", introduction)

# 生成核心问题部分
for i, problem in enumerate(["problem1", "problem2", "problem3"]):
    content = generate_section(
        template=problem,
        cases=load_cases(f"case_{i+1}.json"),
        word_count=2000,
        style="analytical"
    )
    write_file(f"0{i+2}_{problem}.md", content)

# 生成贡献部分
contribution = generate_section(
    template="contribution",
    theses=["thesis_social_constructivism.md", "thesis_community_capital.md", "thesis_social_networks.md", "thesis_social_capital.md", "thesis_institutional_theory.md"],
    word_count=3000,
    style="theoretical"
)
write_file("05_contribution.md", contribution)

# 生成议程部分
agenda = generate_section(
    template="agenda",
    research_gaps=load_research_gaps(),
    word_count=2000,
    style="forward_looking"
)
write_file("06_agenda.md", agenda)

# 生成结论部分
conclusion = generate_section(
    template="conclusion",
    key_points=["研究使命", "行动号召"],
    word_count=1000,
    style="persuasive"
)
write_file("07_conclusion.md", conclusion)
```

**验证标准**：生成7个部分文件，每部分字数符合要求  
**交付成果**：01-07_*.md (7个文件)

### 3.2 内容整合

**执行指令**：
```python
# 整合所有部分
report_parts = [
    "01_introduction.md",
    "02_problem1.md",
    "03_problem2.md",
    "04_problem3.md",
    "05_contribution.md",
    "06_agenda.md",
    "07_conclusion.md"
]

full_report = ""
for part in report_parts:
    content = read_file(part)
    full_report += content + "\n\n---\n\n"

# 添加参考文献
references = generate_references(format="APA", count=30)
full_report += "## 参考文献\n\n" + references

write_file("sociology_ai_report.md", full_report)
```

**验证标准**：整合后总字数≥15000字  
**交付成果**：sociology_ai_report.md

## 🤖 执行阶段四：自我验证与优化

**执行时间**：2025-11-20 09:00-12:00  
**执行工具**：search_file_content, replace, todo_write

### 4.1 逻辑一致性验证

**执行指令**：
```python
# 验证逻辑链条
report = read_file("sociology_ai_report.md")

# 检查论点-论据-结论链条
logic_errors = []
if not check_argument_chain(report, "符号互动论", "AI社会关系"):
    logic_errors.append("论点1链条不完整")
if not check_argument_chain(report, "社会资本", "AI社区影响"):
    logic_errors.append("论点2链条不完整")
if not check_argument_chain(report, "社会治理", "AI公共参与"):
    logic_errors.append("论点3链条不完整")

todo_write(task="逻辑验证", status="completed", details=logic_errors)
```

**验证标准**：逻辑错误≤3处  
**交付成果**：logic_validation_report.json

### 4.2 文献引用验证

**执行指令**：
```python
# 提取所有引用
references = extract_references(report)

# 验证关键文献
key_authors = ["Mead", "Durkheim", "Weber", "Goffman", "Berger", "Luckmann", "Bourdieu"]
missing_citations = []
for author in key_authors:
    if not any(author in ref for ref in references):
        missing_citations.append(author)

# 补充缺失文献
for author in missing_citations:
    new_citation = web_search(query=f"{author} social construction AI implications", limit=1)
    insert_citation(report, new_citation)

todo_write(task="文献验证", status="completed", details=missing_citations)
```

**验证标准**：关键学者引用率≥80%  
**交付成果**：citation_validation_report.json

### 4.3 案例相关性验证

**执行指令**：
```python
# 提取所有案例
cases = extract_cases(report)

# 验证案例与论点匹配度
irrelevant_cases = []
for case in cases:
    if not match_case_to_argument(case, report):
        irrelevant_cases.append(case.id)
        replace_case(case, find_better_case(case.argument))

todo_write(task="案例验证", status="completed", details=irrelevant_cases)
```

**验证标准**：案例匹配度≥90%  
**交付成果**：case_validation_report.json

## 🤖 执行阶段五：最终输出与交付

**执行时间**：2025-11-20 14:00-17:00  
**执行工具**：write_file, list_directory, read_file

### 5.1 学术期刊格式标准化输出

**执行指令**：
```python
# 读取核心报告内容
markdown_report = read_file("sociology_ai_report.md")

# 应用学术期刊格式规范
academic_formatted_report = apply_academic_journal_formatting(markdown_report, discipline="sociology")

# 生成符合期刊标准的多种格式
output_formats = generate_academic_formats(academic_formatted_report)

# 保存格式化报告
for format_type, content in output_formats.items():
    write_file(f"sociology_ai_report_{format_type}", content)

# 生成学术摘要和关键词
academic_abstract = generate_academic_abstract(
    academic_formatted_report,
    word_count=250,  # 期刊标准摘要长度
    structure=["background", "methods", "findings", "conclusions"]
)
write_file("academic_abstract.md", academic_abstract)

# 生成期刊关键词
academic_keywords = generate_academic_keywords(
    academic_formatted_report,
    count=6,  # 期刊标准关键词数量
    source="verified_literature_and_cases"
)
write_file("academic_keywords.md", academic_keywords)
```

**学术期刊格式化函数**：
```python
def apply_academic_journal_formatting(report_content, discipline="sociology"):
    """应用学术期刊格式规范"""
    formatted_content = {
        'title': format_academic_title(extract_title(report_content)),
        'authors': format_authors_academic_style(extract_authors(report_content)),
        'affiliations': format_institutional_affiliations(extract_affiliations(report_content)),
        'abstract': format_structured_abstract(extract_findings(report_content)),
        'keywords': format_keywords_academic_style(extract_keywords(report_content)),
        'introduction': format_introduction_academic_style(extract_section(report_content, "introduction")),
        'literature_review': format_literature_review_academic_style(extract_section(report_content, "literature")),
        'methodology': format_methodology_section(extract_methods_from_cases()),
        'findings': format_findings_section(extract_case_findings()),
        'discussion': format_discussion_section(extract_analysis(report_content)),
        'conclusion': format_conclusion_section(extract_conclusions(report_content)),
        'references': format_references_apa_style(extract_all_references(report_content)),
        'appendices': format_appendices_section(extract_supplementary_data())
    }

    # 验证期刊格式合规性
    format_compliance = validate_journal_format_compliance(formatted_content, discipline)

    return {
        'formatted_content': formatted_content,
        'compliance_report': format_compliance,
        'journal_specific_requirements': get_journal_requirements(discipline)
    }
```

### 5.2 社会学智慧深度分析与AI赋能评估

**执行指令**：
```python
# 深度分析社会学核心智慧价值
sociology_wisdom_analysis = analyze_sociology_core_wisdom()

# 识别最值得赋能AI和智能体的社会学智慧
ai_empowerment_assessment = assess_sociology_ai_empowerment_potential()

# 探索社会学在AI领域的突破方向
breakthrough_analysis = identify_sociology_ai_breakthrough_opportunities()

# 生成社会学智慧赋能报告
wisdom_empowerment_report = generate_sociology_wisdom_empowerment_analysis(
    sociology_wisdom_analysis,
    ai_empowerment_assessment,
    breakthrough_analysis
)

write_file("sociology_wisdom_empowerment_analysis.md", wisdom_empowerment_report)
```

**社会学智慧分析函数**：
```python
def analyze_sociology_core_wisdom():
    """深度分析社会学核心智慧价值"""
    wisdom_domains = {
        'theoretical_foundations': {
            'symbolic_interactionism': analyze_theory_applicability("符号互动论", "AI社交交互"),
            'social_constructionism': analyze_theory_applicability("社会建构论", "AI社会认知"),
            'structural_functionalism': analyze_theory_applicability("结构功能主义", "AI系统功能"),
            'conflict_theory': analyze_theory_applicability("冲突理论", "AI社会影响"),
            'social_capital_theory': analyze_theory_applicability("社会资本理论", "AI网络效应"),
            'social_network_analysis': analyze_theory_applicability("社会网络分析", "AI连接模式"),
            'social_exchange_theory': analyze_theory_applicability("社会交换理论", "AI激励机制")
        },
        'methodological_wisdom': {
            'qualitative_methods': analyze_methodology_transfer("质性研究方法", "AI用户理解"),
            'quantitative_methods': analyze_methodology_transfer("量化研究方法", "AI数据分析"),
            'mixed_methods': analyze_methodology_transfer("混合研究方法", "AI综合分析"),
            'ethnographic_approach': analyze_methodology_transfer("民族志方法", "AI行为观察"),
            'survey_research': analyze_methodology_transfer("调查研究方法", "AI用户调研"),
            'experimental_methods': analyze_methodology_transfer("实验研究方法", "AI效果测试")
        },
        'conceptual_frameworks': {
            'social_structure': analyze_concept_transfer("社会结构", "AI系统架构"),
            'social_culture': analyze_concept_transfer("社会文化", "AI文化适应"),
            'socialization': analyze_concept_transfer("社会化", "AI学习机制"),
            'social_control': analyze_concept_transfer("社会控制", "AI行为规范"),
            'social_change': analyze_concept_transfer("社会变迁", "AI系统演进"),
            'social_inequality': analyze_concept_transfer("社会不平等", "AI公平性")
        }
    }

    return {
        'wisdom_domains': wisdom_domains,
        'total_wisdom_elements': count_wisdom_elements(wisdom_domains),
        'ai_applicability_score': calculate_ai_applicability_score(wisdom_domains)
    }
```

### 5.3 成果验证

**执行指令**：
```python
# 验证文件完整性
files = list_directory("D:\AIDevelop\ssai\export\Law\md\soc")
required_files = [
    "sociology_ai_report.md",
    "sociology_ai_report.html",
    "academic_abstract.md",
    "academic_keywords.md",
    "literature_knowledge_graph.json",
    "research_gaps.json",
    "sociology_wisdom_empowerment_analysis.md"
]

missing_files = [f for f in required_files if f not in files]
if missing_files:
    todo_write(task="文件缺失", status="failed", details=missing_files)
else:
    todo_write(task="文件完整性", status="completed")

# 验证报告质量
report = read_file("sociology_ai_report.md")
if len(report) >= 15000 and "符号互动论" in report and "社会资本" in report:
    todo_write(task="报告质量", status="completed")
else:
    todo_write(task="报告质量", status="failed")
```

**验证标准**：
- 文件完整性：100%
- 报告字数：≥15000字
- 核心概念：≥5个社会学理论

### 5.4 交付确认

**执行指令**：
```python
# 生成交付清单
delivery_list = {
    "report_files": ["sociology_ai_report.md", "sociology_ai_report.html"],
    "abstract_files": ["academic_abstract.md", "academic_keywords.md"],
    "data_files": ["literature_knowledge_graph.json", "research_gaps.json"],
    "validation_files": ["logic_validation_report.json", "citation_validation_report.json", "case_validation_report.json"],
    "analysis_files": ["sociology_wisdom_empowerment_analysis.md"]
}

write_file("delivery_confirmation.json", delivery_list)

# 生成执行日志
execution_log = {
    "start_time": "2025-11-18 09:00",
    "end_time": "2025-11-21 17:00",
    "total_duration": "78 hours",
    "tasks_completed": todo_read(),
    "quality_metrics": {
        "literature_count": 50,
        "case_count": 8,
        "word_count": len(report),
        "citation_count": 30,
        "logic_errors": len(logic_errors),
        "citation_errors": len(missing_citations)
    }
}

write_file("execution_log.json", execution_log)
```

**交付成果**：
- delivery_confirmation.json
- execution_log.json

## 📊 AI执行监控指标

### 实时监控
**每小时输出**：
```json
{
    "timestamp": "2025-11-18 10:00",
    "tasks_completed": 15,
    "tasks_failed": 0,
    "current_phase": "文献检索",
    "estimated_completion": "2025-11-18 12:00"
}
```

### 质量门控
**关键检查点**：
1. **文献检查点**（12:00）：文献数量≥50，否则重试
2. **框架检查点**（17:00）：框架完整，否则重新生成
3. **内容检查点**（次日17:00）：字数≥15000，否则补充
4. **验证检查点**（第三日12:00）：逻辑错误≤3，否则修正
5. **交付检查点**（第三日17:00）：文件完整性100%，否则补全

### 错误处理
**自动重试机制**：
- 网络错误：重试3次，间隔5分钟
- 文件读写错误：重试2次，间隔1分钟
- 逻辑验证失败：自动修正1次，人工介入标记

**人工介入条件**：
- 同一错误重试3次仍失败
- 关键检查点未通过
- 执行时间超出计划50%

## 🎯 AI执行成功标准

### 核心指标
- ✅ 文献数量：≥50篇
- ✅ 报告字数：≥15000字
- ✅ 案例数量：≥8个
- ✅ 文献引用：≥30篇
- ✅ 逻辑错误：≤3处
- ✅ 文件完整性：100%

### 质量标准
- ✅ 论证深度：每个论点有理论支撑+实证案例
- ✅ 学科契合：符合社会学研究范式
- ✅ 创新性：提出3-5个新研究议题
- ✅ 实用性：有具体社会机制和实践指导

## 🚀 执行启动

**启动指令**：
```bash
# 加载执行计划
load_plan("AI执行计划-社会学.md")

# 初始化执行环境
init_environment()

# 开始执行
execute_plan(start_time="2025-11-18 09:00", mode="auto")

# 监控执行
monitor_execution(interval="1 hour", log_file="execution.log")
```

**启动确认**：
- [x] 计划文件已加载
- [x] 工具环境已初始化
- [x] 存储空间已检查（≥100MB）
- [x] 网络连接已验证
- [x] 执行权限已获取

**执行状态**：🟢 就绪，等待启动命令

---

**计划生成**：2025-11-18 08:00  
**计划版本**：v1.0  
**计划状态**：✅ 已批准，待执行