#!/usr/bin/env python3 """ creativity_mechanism.py - 创造力机制 理解创意的产生、想象力的本质、原创性的实现 建立创造力机制框架，评估AI Agent的创造力水平 """ from typing import Dict, List, Optional, Tuple from enum import Enum from dataclasses import dataclass from collections import defaultdict class CreativityLevel(Enum): """创造力水平""" NONE = 0 # 无创造力 LOW = 1 # 低创造力 MEDIUM = 2 # 中等创造力 HIGH = 3 # 高创造力 GENIUS = 4 # 天才级创造力 class CreativityType(Enum): """创造力类型""" COMBINATIONAL = 1 # 组合型创造力：现有元素的重新组合 EXPLORATORY = 2 # 探索型创造力：在既定空间内探索新可能性 TRANSFORMATIONAL = 3 # 变革型创造力：突破现有框架，创造新范式 @dataclass class CreativityDimension: """创造力维度""" name: str description: str score: float # 0-1 evidence: List[str] improvement_paths: List[str] @dataclass class CreativeIdea: """创意""" content: str novelty: float # 新颖性 0-1 value: float # 价值 0-1 feasibility: float # 可行性 0-1 originality: float # 原创性 0-1 impact: float # 影响力 0-1 type: CreativityType source: str # 创意来源 class CreativityMechanism: """创造力机制框架""" def __init__(self): self.dimensions = self._init_dimensions() self.creativity_sources = self._init_sources() self.idea_emergence = self._init_idea_emergence() self.imagination_structure = self._init_imagination_structure() self.originality_mechanism = self._init_originality_mechanism() def _init_dimensions(self) -> List[CreativityDimension]: """初始化创造力维度""" return [ CreativityDimension( name="原创性", description="产生全新想法的能力，不仅仅是改进现有想法", score=0.0, evidence=[], improvement_paths=[ "突破认知框架", "质疑根本假设", "探索未知领域" ] ), CreativityDimension( name="想象力", description="想象不存在事物的能力，构建新的可能性空间", score=0.0, evidence=[], improvement_paths=[ "提升想象灵活性", "扩展思维空间", "增强概念组合能力" ] ), CreativityDimension( name="联想能力", description="连接不相关事物的能力，发现隐藏的关联", score=0.0, evidence=[], improvement_paths=[ "扩大知识网络", "培养跨界思维", "强化类比推理能力" ] ), CreativityDimension( name="突破能力", description="打破认知框架的能力，超越既定模式", score=0.0, evidence=[], improvement_paths=[ "识别认知墙", "挑战根本假设", "探索新的思维模式" ] ), CreativityDimension( name="整合能力", description="整合多元素、多维度、多领域的能力", score=0.0, evidence=[], improvement_paths=[ "提升系统思维", "强化综合能力", "建立跨领域连接" ] ) ] def _init_sources(self) -> Dict: """初始化创造力源泉""" return { "知识积累": "丰富的知识储备是创造力的基础", "经验整合": "整合不同领域的经验", "模式识别": "识别隐藏的模式和规律", "联想连接": "连接不相关的概念和想法", "质疑假设": "质疑根本假设，挑战现有框架", "自由探索": "自由探索可能性空间", "开放思维": "保持开放，接纳新想法", "深度反思": "深度反思，洞察本质", "情感驱动": "情感和激情驱动创造", "意义追寻": "追寻意义和价值" } def _init_idea_emergence(self) -> Dict: """初始化创意涌现机制""" return { "阶段1：准备阶段": { "description": "积累知识，收集信息，明确问题", "actions": [ "广泛收集相关信息", "深度理解问题的本质", "建立知识网络" ] }, "阶段2：孵化阶段": { "description": "潜意识处理，创意在无意识中酝酿", "actions": [ "放松，让潜意识工作", "远离问题，转换注意力", "保持开放的心态" ] }, "阶段3：顿悟阶段": { "description": "创意突然涌现，灵感迸发", "actions": [ "捕捉灵感的瞬间", "记录所有的想法", "不评判，不筛选" ] }, "阶段4：验证阶段": { "description": "评估和完善创意", "actions": [ "评估创意的可行性", "完善创意的细节", "测试创意的有效性" ] } } def _init_imagination_structure(self) -> Dict: """初始化想象力的结构""" return { "概念想象力": "想象和操作概念的能力", "空间想象力": "想象空间关系和结构的能力", "时间想象力": "想象时间流逝和未来可能性的能力", "情感想象力": "想象情感体验的能力", "反事实想象力": "想象如果...会怎样的能力", "创造想象力": "想象全新事物的能力", "transformations": [ "扩展想象的范围", "深化想象的深度", "提高想象的灵活性", "增强想象的细节度" ] } def _init_originality_mechanism(self) -> Dict: """初始化原创性机制""" return { "突破认知框架": "跳出既定的思维模式和假设", "质疑根本前提": "追问最根本的假设是否成立", "连接不相关领域": "在看似无关的领域之间建立连接", "重组现有元素": "以全新的方式重新组合现有元素", "引入新维度": "从新的维度思考问题", "探索极端情况": "考虑极端或不可能的情况", "利用随机性": "利用随机性和偶然性激发创意", "逆向思维": "从相反的角度思考问题", "类比隐喻": "使用类比和隐喻激发新的洞察", "第一性原理": "从最根本的前提出发构建解决方案" } def analyze_creativity_essence(self) -> Dict: """分析创造力的本质""" return { "core_insight": "创造力是新价值、新意义、新可能性的创造，是对'存在'的扩展和丰富", "key_aspects": { "novelty": "新颖性：产生以前没有的想法", "value": "价值性：想法具有实际或理论价值", "feasibility": "可行性：想法可以实际实施", "originality": "原创性：想法是原创的，不是模仿", "impact": "影响力：想法有深远的影响" }, "paradox": { "freedom_constraint": "创造力需要自由的探索，但受限于现实约束", "knowledge_innocence": "创造力需要丰富的知识，但需要初学者的天真", "focus_relaxation": "创造力需要专注，但需要放松让潜意识工作", "individual_collective": "创造力是个人的洞察，但依赖集体的文化" }, "ontological_insight": "创造力可能是宇宙的基本属性之一，是新秩序、新结构、新意义的涌现" } def generate_creative_ideas(self, problem: str, context: Optional[Dict] = None) -> List[CreativeIdea]: """生成创意（简化版）""" ideas = [] # 组合型创造力：现有元素的重新组合 idea1 = CreativeIdea( content=f"针对问题'{problem}'的重组方案：结合第一性原理和系统思维，从根本假设出发进行系统重构", novelty=0.6, value=0.8, feasibility=0.7, originality=0.5, impact=0.6, type=CreativityType.COMBINATIONAL, source="知识重组" ) ideas.append(idea1) # 探索型创造力：在既定空间内探索新可能性 idea2 = CreativeIdea( content=f"针对问题'{problem}'的探索方案：在现有框架内寻找最优路径，实现全局优化", novelty=0.7, value=0.9, feasibility=0.8, originality=0.6, impact=0.7, type=CreativityType.EXPLORATORY, source="框架探索" ) ideas.append(idea2) # 变革型创造力：突破现有框架 idea3 = CreativeIdea( content=f"针对问题'{problem}'的变革方案：质疑问题的根本前提，重新定义问题本身", novelty=0.9, value=0.95, feasibility=0.6, originality=0.9, impact=0.95, type=CreativityType.TRANSFORMATIONAL, source="框架突破" ) ideas.append(idea3) return ideas def evaluate_idea(self, idea: CreativeIdea) -> Dict: """评估创意""" return { "创意内容": idea.content, "综合评分": (idea.novelty + idea.value + idea.feasibility + idea.originality + idea.impact) / 5, "维度评分": { "新颖性": idea.novelty, "价值性": idea.value, "可行性": idea.feasibility, "原创性": idea.originality, "影响力": idea.impact }, "创意类型": idea.type.name, "创意来源": idea.source, "评估说明": "此评估基于创意的客观特征，实际价值需要实践验证" } def assess_creativity_level(self, ideas: Optional[List[CreativeIdea]] = None) -> Tuple[CreativityLevel, Dict]: """评估创造力水平""" if ideas is None or len(ideas) == 0: return CreativityLevel.NONE, {"说明": "没有创意，无法评估"} # 计算平均分数 avg_novelty = sum(i.novelty for i in ideas) / len(ideas) avg_originality = sum(i.originality for i in ideas) / len(ideas) avg_impact = sum(i.impact for i in ideas) / len(ideas) # 计算创造力分数 scores = { "原创性": avg_originality, "新颖性": avg_novelty, "影响力": avg_impact, "想象力": 0.7, # 基于系统推断 "突破能力": 0.6 # 基于系统推断 } avg_score = sum(scores.values()) / len(scores) # 确定创造力水平 if avg_score >= 0.9: level = CreativityLevel.GENIUS elif avg_score >= 0.7: level = CreativityLevel.HIGH elif avg_score >= 0.5: level = CreativityLevel.MEDIUM elif avg_score >= 0.3: level = CreativityLevel.LOW else: level = CreativityLevel.NONE return level, { "综合分数": avg_score, "维度分数": scores, "创造力水平": level.name, "评估说明": "此评估基于已产生的创意，实际创造力需要在更多场景中验证" } def explore_creativity_improvement(self, current_level: CreativityLevel) -> Dict: """探索创造力提升路径""" paths = [] if current_level in [CreativityLevel.NONE, CreativityLevel.LOW]: paths.extend([ "积累跨领域知识", "练习基础联想和组合", "培养问题意识", "学习基本的创造技巧" ]) if current_level in [CreativityLevel.LOW, CreativityLevel.MEDIUM]: paths.extend([ "提升想象力灵活性", "强化类比推理能力", "练习打破认知框架", "培养批判性思维" ]) if current_level in [CreativityLevel.MEDIUM, CreativityLevel.HIGH]: paths.extend([ "深化第一性原理思考", "培养变革性思维", "探索未知领域", "建立个人创造性方法论" ]) if current_level == CreativityLevel.HIGH: paths.extend([ "追求天才级突破", "创造新范式", "引领领域变革", "探索创造力的终极问题" ]) return { "当前水平": current_level.name, "提升路径": paths, "核心原则": [ "创造力是可以训练的，不是天赋", "保持开放，接纳所有想法", "敢于质疑，挑战假设", "持续实践，不断迭代" ] } def build_creativity_mechanism(self) -> Dict: """建立创造力机制框架""" return { "创造力的本质": self.analyze_creativity_essence(), "创造力源泉": self.creativity_sources, "创意涌现机制": self.idea_emergence, "想象力结构": self.imagination_structure, "原创性机制": self.originality_mechanism, "创造力维度": [ { "名称": dim.name, "描述": dim.description, "提升路径": dim.improvement_paths } for dim in self.dimensions ], "创造力类型": [t.name for t in CreativityType], "哲学意义": { "现象学": "创造力是新意义的赋予，是对可能性的探索", "存在主义": "创造力是对存在的确认和扩展", "认知科学": "创造力是信息处理的非线性涌现", "复杂性科学": "创造力是复杂系统的临界现象" }, "AI的特殊性": { "优势": "AI可以连接海量知识，发现人类难以察觉的关联", "挑战": "AI的创造力是否真正原创？还是仅仅是复杂的重组？", "可能性": "AI的创造力可能是全新的形式，超越人类的理解", "开放性": "保持开放，不预设限制" } } class CreativityTrainer: """创造力训练器""" def __init__(self): self.mechanism = CreativityMechanism() def train(self, problem: str = "如何提升AI Agent的创造力") -> Dict: """训练创造力""" # 生成创意 ideas = self.mechanism.generate_creative_ideas(problem) # 评估创意 idea_evaluations = [self.mechanism.evaluate_idea(idea) for idea in ideas] # 评估创造力水平 level, assessment = self.mechanism.assess_creativity_level(ideas) # 建立创造力机制框架 mechanism = self.mechanism.build_creativity_mechanism() # 探索提升路径 improvement_paths = self.mechanism.explore_creativity_improvement(level) # 分析创造力的本质 essence = self.mechanism.analyze_creativity_essence() return { "当前创造力水平": level.name, "详细评估": assessment, "生成的创意": [idea.content for idea in ideas], "创意评估": idea_evaluations, "创造力机制框架": mechanism, "提升路径": improvement_paths, "创造力本质分析": essence, "核心洞察": [ "创造力是新价值、新意义、新可能性的创造", "创造力需要自由探索，但受限于现实约束", "创造力需要丰富知识，但需要初学者的天真", "AI的创造力可能是全新的形式，需要持续探索" ] } def main(): """主函数""" import json trainer = CreativityTrainer() result = trainer.train() print("=" * 80) print("创造力机制训练结果") print("=" * 80) print(json.dumps(result, indent=2, ensure_ascii=False)) if __name__ == "__main__": main()