本书深入探索了人工智能从工具到智能体的飞跃，揭示了这一技术革命如何引发社会、经济、文化的深刻变革。书中回顾了AI发展中的三次重要跃迁，从AlphaGo的胜利到GPT-3的诞生，再到智能体技术的突破，展示了AI如何从被动响应工具，转变为自主感知、决策、学习和行动的"数字生命体”。本书采用"技术演进—商业实践—社会影响”三维叙事结构，深入浅出地讲解了AI智能体的技术原理、实际应用及其带来的行业变革。通过丰富的案例分析，书中展示了智能体在制造业、医疗、教育、金融等领域的广泛应用，推动了生产效率、个性化服务、精准决策等方面的巨大进步。同时，智能体的崛起也带来了新一轮的社会挑战，如工作岗位变迁、角色分工重塑以及伦理与隐私问题的考量。本书不仅阐述了智能体技术的现状，还展望了其未来发展趋势，提出了人类如何在智能体时代找到自己的独特价值。它是探索人工智能时代变革的指南，帮助读者理解AI智能体的潜力与挑战，开启对未来数字文明的深刻思考。
高承实，密码学博士，河南复杂度软件科技有限公司创始人。中国计算机学会高级会员、区块链专委会执行委员，中国工业与应用数学学会区块链专委会常务委员，中国移动通信联合会元宇宙产业工作委员会常务委员，中国指挥与控制学会会员、城市大脑与社会综合治理专家咨询团队团员，云安全联盟CSA大中华区元宇宙技术安全专家组专家，中国密码学会会员，蚂蚁链大学认证专家，深圳市信息服务业区块链协会专家导师，亚洲区块链产业研究院专家顾问委员。2020年被浙商产业区块链促进联盟、宏链财经评为"年度行业贡献者”。出版《区块链技术本质与应用》《元宇宙进化逻辑》《回归常识——高博士区块链观察》《区块链中的密码技术》等著作。同时也是多所大学客座教授。 薛冬梅，新闻学硕士，Web 3、人工智能等领域自媒体创作者，智能体工程师，人工智能工具深度实践者。常年从事品牌宣传工作，曾在建业集团、新田集团品牌部任职，参与《Web 3中的零知识证明》等书籍编撰工作。坚定认为AI和AI Agent正在开启对诸多行业的全方位渗透，未来更将成为新的信息入口，改变着人类读取信息的效率和方式，改变并建立新的经济规则、技术规则和文化规则。
第一部分从超级大脑到全能助手
第 1 章智能体——AI 应用的前世今生···············································.2
1.1 从“AI”到“智能体”：名称背后的转变································.3
1.2 智能体有何不同·································································.4
1.3 智能体简史·······································································.6
1.4 智能体的不同境界·····························································.13
1.5 再谈Manus 与DeepSeek ·····················································.16
第二部分 AI 智能体拆解
第 2 章硅基生物五感全开······························································.20
2.1 感知：视觉、语音、文本成为智能体的“感官”······················.21
2.2 记忆系统：建立持续的认知·················································.23
2.3 决策与策略生成：“大脑”的理解和选择逻辑·························.25
2.4 行动执行：把决策变成现实动作的幕后原理····························.31
2.5 环境交互与反馈：闭环学习让智能体越做越聪明······················.36
第3 章 AI 智能体运行原理·····························································.38
3.1 任务解析与自主规划··························································.38
3.2 多智能体协作···································································.39
3.3 自监督学习与持续优化机制·················································.42
3.4 常见的设计模式及案例·······················································.44
第4 章 2025，智能体元年·····························································.57
4.1 产品与市场版图································································.57
4.2 智能体发展现状································································.61
4.2.1 能力现状································································.61
4.2.2 技术栈现状·····························································.72
4.3 未来之路·········································································.76
第三部分行业应用：奇点临近
第 5 章医疗：更公平、更健康························································.83
5.1 趋势：当AI 医生批量“上岗” ············································.83
5.2 最佳技术进展及市场应用····················································.86
5.2.1 最佳技术进展··························································.86
5.2.2 市场应用································································.89
5.3 市场启示·········································································.93
第6 章零售业：AI 视角下的人货场·················································.98
6.1 故事：你的顾客是机器人····················································.98
6.2 最佳技术进展·································································.100
6.3 市场应用和启示······························································.105
第7 章教育：量身定制成长曲线···················································.112
7.1 AI 正在接管课堂·····························································.112
7.2 最佳技术应用·································································.114
7.2.1 再现苏格拉底式的智慧启蒙——基于对话做辅导···········.114
7.2.2 沉浸式体验——模拟学习法····································.122
7.2.3 一对一辅导不再昂贵···············································.126
7.3 市场启示·······································································.130
第8 章金融：算法重塑财富管理···················································.134
8.1 前线报道：AI 智能体已渗透金融的每个环节·························.134
8.2 最佳技术进展·································································.138
8.3 市场启示·······································································.145
第9 章制造业：产线重构····························································.147
9.1 案例：制造业的ChatGPT 时刻···········································.147
9.2 最佳技术进展·································································.155
9.3 市场应用和启示······························································.166
第四部分当 AI 智能体“上岗”：组织与个人的双向变革
第 10 章数字员工催生组织新范式·················································.172
10.1 AI 智能体角色进化：从效率工具到数字同事·······················.172
10.2 岗位角色的消亡与新生···················································.173
10.3 工作流程的自动化协同···················································.175
10.4 当AI 智能体大规模成为“员工”······································.177
10.5 组织架构的新范式·························································.179
10.6 人机协作：重新审视团队文化··········································.180
第11 章 AI 智能体加持的超级个体················································.183
11.1 机遇：成为AI 智能体加持的超级个体································.183
11.2 挑战：应对角色转变与新风险··········································.185
11.3 个人行动建议·······························································.188
第五部分智能体部署和应用风险
第 12 章“新电力”愿景下的智能体部署·········································.193
12.1 基础设施：智能体的“生存环境” ····································.193
12.2 开放生态与标准····························································.197
第13 章伦理与挑战···································································.200
13.1 伦理挑战：算法偏见与歧视·············································.200
13.2 道德困境：AI 决策是否承担责任······································.201
13.3 社会信任危机：深度伪造与虚假信息·································.202
13.4 失控风险的应对：AI 对齐···············································.203
13.5 规制与治理：国内外的探索与实践····································.204
13.6 公众参与与伦理共识······················································.205
参考文献····················································································.207
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