AI智能體時代來臨

高承實，密碼學博士，河南覆雜度軟件科技有限公司創始人。中國計算機學會高級會員、區塊鏈專委會執行委員，中國工業與應用數學學會區塊鏈專委會常務委員，中國移動通信聯合會元宇宙產業工作委員會常務委員，中國指揮與控制學會會員、城市大腦與社會綜合治理專家咨詢團隊團員，雲安全聯盟CSA大中華區元宇宙技術安全專家組專家，中國密碼學會會員，螞蟻鏈大學認證專家，深圳市信息服務業區塊鏈協會專家導師，亞洲區塊鏈產業研究院專家顧問委員。2020年被浙商產業區塊鏈促進聯盟、宏鏈財經評為"年度行業貢獻者”。出版《區塊鏈技術本質與應用》《元宇宙進化邏輯》《回歸常識——高博士區塊鏈觀察》《區塊鏈中的密碼技術》等著作。同時也是多所大學客座教授。 薛冬梅，新聞學碩士，Web 3、人工智能等領域自媒體創作者，智能體工程師，人工智能工具深度實踐者。常年從事品牌宣傳工作，曾在建業集團、新田集團品牌部任職，參與《Web 3中的零知識證明》等書籍編撰工作。堅定認為AI和AI Agent正在開啟對諸多行業的全方位滲透，未來更將成為新的信息入口，改變著人類讀取信息的效率和方式，改變並建立新的經濟規則、技術規則和文化規則。

第一部分從超級大腦到全能助手
第 1 章智能體——AI 應用的前世今生···············································.2
1.1 從“AI”到“智能體”：名稱背後的轉變································.3
1.2 智能體有何不同·································································.4
1.3 智能體簡史·······································································.6
1.4 智能體的不同境界·····························································.13
1.5 再談Manus 與DeepSeek ·····················································.16
第二部分 AI 智能體拆解
第 2 章矽基生物五感全開······························································.20
2.1 感知：視覺、語音、文本成為智能體的“感官”······················.21
2.2 記憶系統：建立持續的認知·················································.23
2.3 決策與策略生成：“大腦”的理解和選擇邏輯·························.25
2.4 行動執行：把決策變成現實動作的幕後原理····························.31
2.5 環境交互與反饋：閉環學習讓智能體越做越聰明······················.36
第3 章 AI 智能體運行原理·····························································.38
3.1 任務解析與自主規劃··························································.38
3.2 多智能體協作···································································.39
3.3 自監督學習與持續優化機制·················································.42
3.4 常見的設計模式及案例·······················································.44
第4 章 2025，智能體元年·····························································.57
4.1 產品與市場版圖································································.57
4.2 智能體發展現狀································································.61
4.2.1 能力現狀································································.61
4.2.2 技術棧現狀·····························································.72
4.3 未來之路·········································································.76
第三部分行業應用：奇點臨近
第 5 章醫療：更公平、更健康························································.83
5.1 趨勢：當AI 醫生批量“上崗” ············································.83
5.2 最佳技術進展及市場應用····················································.86
5.2.1 最佳技術進展··························································.86
5.2.2 市場應用································································.89
5.3 市場啟示·········································································.93
第6 章零售業：AI 視角下的人貨場·················································.98
6.1 故事：你的顧客是機器人····················································.98
6.2 最佳技術進展·································································.100
6.3 市場應用和啟示······························································.105
第7 章教育：量身定制成長曲線···················································.112
7.1 AI 正在接管課堂·····························································.112
7.2 最佳技術應用·································································.114
7.2.1 再現蘇格拉底式的智慧啟蒙——基於對話做輔導···········.114
7.2.2 沈浸式體驗——模擬學習法····································.122
7.2.3 一對一輔導不再昂貴···············································.126
7.3 市場啟示·······································································.130
第8 章金融：算法重塑財富管理···················································.134
8.1 前線報道：AI 智能體已滲透金融的每個環節·························.134
8.2 最佳技術進展·································································.138
8.3 市場啟示·······································································.145
第9 章制造業：產線重構····························································.147
9.1 案例：制造業的ChatGPT 時刻···········································.147
9.2 最佳技術進展·································································.155
9.3 市場應用和啟示······························································.166
第四部分當 AI 智能體“上崗”：組織與個人的雙向變革
第 10 章數字員工催生組織新範式·················································.172
10.1 AI 智能體角色進化：從效率工具到數字同事·······················.172
10.2 崗位角色的消亡與新生···················································.173
10.3 工作流程的自動化協同···················································.175
10.4 當AI 智能體大規模成為“員工”······································.177
10.5 組織架構的新範式·························································.179
10.6 人機協作：重新審視團隊文化··········································.180
第11 章 AI 智能體加持的超級個體················································.183
11.1 機遇：成為AI 智能體加持的超級個體································.183
11.2 挑戰：應對角色轉變與新風險··········································.185
11.3 個人行動建議·······························································.188
第五部分智能體部署和應用風險
第 12 章“新電力”願景下的智能體部署·········································.193
12.1 基礎設施：智能體的“生存環境” ····································.193
12.2 開放生態與標準····························································.197
第13 章倫理與挑戰···································································.200
13.1 倫理挑戰：算法偏見與歧視·············································.200
13.2 道德困境：AI 決策是否承擔責任······································.201
13.3 社會信任危機：深度偽造與虛假信息·································.202
13.4 失控風險的應對：AI 對齊···············································.203
13.5 規制與治理：國內外的探索與實踐····································.204
13.6 公眾參與與倫理共識······················································.205
參考文獻····················································································.207