{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","uuid":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","normalized_title":"智慧的疆界从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","isbns":["9787111778004","9787111695714"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":456,"navigation_url":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title_url":"https://workshop.closeclaw.top/ai/title/%E6%99%BA%E6%85%A7%E7%9A%84%E7%96%86%E7%95%8C%20%E4%BB%8E%E5%9B%BE%E7%81%B5%E6%9C%BA%E5%88%B0%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","page_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/search"},"page":{"printed_page":405,"pdf_page":420,"physical_index":420,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"37cc1fbd43331e94a4ed588377db2ebb8f26538f36037a133d0fef9ac6852c34"},"chapter":"内容简介","content":"1957 年 心理学家弗兰克·罗森布拉特（Frank Rosenblatt）第一个将Hebb 法则用于模拟人类感知能力，并提出了“感知机”（Perceptron）的概念模型，希望这个模型能够作为承载智能的基础模型。罗森布拉特在康奈尔大学航空实验室的 IBM 704 计算机上完成了感知机的仿真后，成功申请到了美国海军的资助，并于两年后成功制造出一台能够识别英文字母的基于感知机的神经计算机—Mark-1，并在 1960 年 6 月 23 日向美国公众展示。\n\n1958 年 约翰·麦卡锡（John McCarthy）在麻省理工学院发明了 LISP 语言，这是历史上第二门编程语言、第一门函数式编程语言，也是时至今日还被广泛使用的专门面向人工智能符号推理的编程语言。\n\n1958 年 在英国国家物理实验室召开了“思维过程机器化”（Mechanizationof Thought Process）讨论会议，达特茅斯会议的参会人中麦卡锡、明斯基、塞弗里奇三位参加了该会议，此外还有致力于神经网络研究的麦卡洛克，以及英国的控制论代表人物艾什比等也参加了此次会议，会上麦卡锡发表了符号主义的奠基性论文《常识编程》（“Programs with Common Sense”）。\n\n附录 人工智能历史大事记\n\n405","previous_page":404,"next_page":406}