本書深入探索了人工智能從工具到智能體的飛躍，揭示了這一技術(shù)革命如何引發(fā)社會、經(jīng)濟、文化的深刻變革。書中回顧了AI發(fā)展中的三次重要躍遷，從AlphaGo的勝利到GPT-3的誕生，再到智能體技術(shù)的突破，展示了AI如何從被動響應(yīng)工具，轉(zhuǎn)變?yōu)樽灾鞲兄�、決策、學(xué)習(xí)和行動的"數(shù)字生命體”。本書采用"技術(shù)演進—商業(yè)實踐—社會影響”三維敘事結(jié)構(gòu)，深入淺出地講解了AI智能體的技術(shù)原理、實際應(yīng)用及其帶來的行業(yè)變革。通過豐富的案例分析，書中展示了智能體在制造業(yè)、醫(yī)療、教育、金融等領(lǐng)域的廣泛應(yīng)用，推動了生產(chǎn)效率、個性化服務(wù)、精準(zhǔn)決策等方面的巨大進步。同時，智能體的崛起也帶來了新一輪的社會挑戰(zhàn)，如工作崗位變遷、角色分工重塑以及倫理與隱私問題的考量。本書不僅闡述了智能體技術(shù)的現(xiàn)狀，還展望了其未來發(fā)展趨勢，提出了人類如何在智能體時代找到自己的獨特價值。它是探索人工智能時代變革的指南，幫助讀者理解AI智能體的潛力與挑戰(zhàn)，開啟對未來數(shù)字文明的深刻思考。
高承實，密碼學(xué)博士，河南復(fù)雜度軟件科技有限公司創(chuàng)始人。中國計算機學(xué)會高級會員、區(qū)塊鏈專委會執(zhí)行委員，中國工業(yè)與應(yīng)用數(shù)學(xué)學(xué)會區(qū)塊鏈專委會常務(wù)委員，中國移動通信聯(lián)合會元宇宙產(chǎn)業(yè)工作委員會常務(wù)委員，中國指揮與控制學(xué)會會員、城市大腦與社會綜合治理專家咨詢團隊團員，云安全聯(lián)盟CSA大中華區(qū)元宇宙技術(shù)安全專家組專家，中國密碼學(xué)會會員，螞蟻鏈大學(xué)認證專家，深圳市信息服務(wù)業(yè)區(qū)塊鏈協(xié)會專家導(dǎo)師，亞洲區(qū)塊鏈產(chǎn)業(yè)研究院專家顧問委員。2020年被浙商產(chǎn)業(yè)區(qū)塊鏈促進聯(lián)盟、宏鏈財經(jīng)評為"年度行業(yè)貢獻者”。出版《區(qū)塊鏈技術(shù)本質(zhì)與應(yīng)用》《元宇宙進化邏輯》《回歸常識——高博士區(qū)塊鏈觀察》《區(qū)塊鏈中的密碼技術(shù)》等著作。同時也是多所大學(xué)客座教授。 薛冬梅，新聞學(xué)碩士，Web 3、人工智能等領(lǐng)域自媒體創(chuàng)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(yè)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(yè)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，改變并建立新的經(jīng)濟規(guī)則、技術(shù)規(guī)則和文化規(guī)則。
第一部分從超級大腦到全能助手
第 1 章智能體——AI 應(yīng)用的前世今生···············································.2
1.1 從“AI”到“智能體”：名稱背后的轉(zhuǎn)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 章硅基生物五感全開······························································.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(tǒng)：建立持續(xù)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(zhí)行：把決策變成現(xiàn)實動作的幕后原理····························.31
2.5 環(huán)境交互與反饋：閉環(huán)學(xué)習(xí)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(wù)解析與自主規(guī)劃··························································.38
3.2 多智能體協(xié)作···································································.39
3.3 自監(jiān)督學(xué)習(xí)與持續(xù)優(yōu)化機制·················································.42
3.4 常見的設(shè)計模式及案例·······················································.44
第4 章 2025，智能體元年·····························································.57
4.1 產(chǎn)品與市場版圖································································.57
4.2 智能體發(fā)展現(xiàn)狀································································.61
4.2.1 能力現(xiàn)狀································································.61
4.2.2 技術(shù)�，F(xiàn)狀·····························································.72
4.3 未來之路·········································································.76
第三部分行業(yè)應(yīng)用：奇點臨近
第 5 章醫(yī)療：更公平、更健康························································.83
5.1 趨勢：當(dāng)AI 醫(yī)生批量“上崗” ············································.83
5.2 最佳技術(shù)進展及市場應(yīng)用····················································.86
5.2.1 最佳技術(shù)進展··························································.86
5.2.2 市場應(yīng)用································································.89
5.3 市場啟示·········································································.93
第6 章零售業(yè)：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(shù)進展·································································.100
6.3 市場應(yīng)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(shù)應(yīng)用·································································.114
7.2.1 再現(xiàn)蘇格拉底式的智慧啟蒙——基于對話做輔導(dǎo)···········.114
7.2.2 沉浸式體驗——模擬學(xué)習(xí)法····································.122
7.2.3 一對一輔導(dǎo)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(huán)節(jié)·························.134
8.2 最佳技術(shù)進展·································································.138
8.3 市場啟示·······································································.145
第9 章制造業(yè)：產(chǎn)線重構(gòu)····························································.147
9.1 案例：制造業(yè)的ChatGPT 時刻···········································.147
9.2 最佳技術(shù)進展·································································.155
9.3 市場應(yīng)用和啟示······························································.166
第四部分當(dāng) AI 智能體“上崗”：組織與個人的雙向變革
第 10 章數(shù)字員工催生組織新范式·················································.172
10.1 AI 智能體角色進化：從效率工具到數(shù)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(xié)同···················································.175
10.4 當(dāng)AI 智能體大規(guī)模成為“員工”······································.177
10.5 組織架構(gòu)的新范式·························································.179
10.6 人機協(xié)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(zhàn)：應(yīng)對角色轉(zhuǎn)變與新風(fēng)險··········································.185
11.3 個人行動建議·······························································.188
第五部分智能體部署和應(yīng)用風(fēng)險
第 12 章“新電力”愿景下的智能體部署·········································.193
12.1 基礎(chǔ)設(shè)施：智能體的“生存環(huán)境” ····································.193
12.2 開放生態(tài)與標(biāo)準(zhǔn)····························································.197
第13 章倫理與挑戰(zhàn)···································································.200
13.1 倫理挑戰(zhàn)：算法偏見與歧視·············································.200
13.2 道德困境：AI 決策是否承擔(dān)責(zé)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(fēng)險的應(yīng)對：AI 對齊···············································.203
13.5 規(guī)制與治理：國內(nèi)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
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