{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"8770e87a-1162-4f3c-b374-e88b5e736a68","title":"我们何以成为后人类 文学、信息科学和控制论中的虚拟身体","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787301280768","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"8770e87a-1162-4f3c-b374-e88b5e736a68","id":"8770e87a-1162-4f3c-b374-e88b5e736a68","uuid":"8770e87a-1162-4f3c-b374-e88b5e736a68","title":"我们何以成为后人类 文学、信息科学和控制论中的虚拟身体","normalized_title":"我们何以成为后人类文学信息科学和控制论中的虚拟身体","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787301280768","isbns":["9787301280768"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":474,"navigation_url":"https://workshop.closeclaw.top/ai/book/8770e87a-1162-4f3c-b374-e88b5e736a68","title_url":"https://workshop.closeclaw.top/ai/title/%E6%88%91%E4%BB%AC%E4%BD%95%E4%BB%A5%E6%88%90%E4%B8%BA%E5%90%8E%E4%BA%BA%E7%B1%BB%20%E6%96%87%E5%AD%A6%E3%80%81%E4%BF%A1%E6%81%AF%E7%A7%91%E5%AD%A6%E5%92%8C%E6%8E%A7%E5%88%B6%E8%AE%BA%E4%B8%AD%E7%9A%84%E8%99%9A%E6%8B%9F%E8%BA%AB%E4%BD%93","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/8770e87a-1162-4f3c-b374-e88b5e736a68/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/8770e87a-1162-4f3c-b374-e88b5e736a68/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/8770e87a-1162-4f3c-b374-e88b5e736a68","page_url":"https://workshop.closeclaw.top/api/ai/books/8770e87a-1162-4f3c-b374-e88b5e736a68/page","search_url":"https://workshop.closeclaw.top/api/ai/books/8770e87a-1162-4f3c-b374-e88b5e736a68/search"},"page":{"printed_page":76,"pdf_page":89,"physical_index":89,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"49d880456cbdf9a109405215c02a0c0f502555bff92bfa5ee1e8d54781e3e766"},"chapter":"第三章","content":"作为逻辑算符(operators)的神经网络\n\n在梅西会议上，沃伦·麦卡洛克是个大人物，主持了很多会议。根据各种说法，他是一个强硬的领袖，控制了哪些人发言，哪些人不发言。他曾经跟随诺斯罗普（F.S.C.Northrop）学习哲学，并且非常熟悉鲁道夫·卡纳普(RudolfCarnap）的命题逻辑。当他转向神经生理学时，被两个既是哲学又是科学的问题吸引了。“什么是数字？人可能知道的数字；什么是人？可能知道数字的人”[9]。他在神经元模型中寻找答案。按照他的设想，这个神经元模型具有两方面特征：一是物理的，二是符号的/象征的。所谓的麦卡洛克一皮茨神经元模型，具有非常重要的影响。尽管已经通过各种方式进行重要的调整，对于一代研究者而言，它还是神经功能的标准模型。当年，这个模型代表了实验工作和理论归纳的双重胜利。史蒂夫·海姆斯(SteveHeims)指出，很难从实验台上的无定形的粉红色组织推断出模型的纯粹抽象。[10]在考察简单的逻辑形式和复杂的具体表现之间的相互作用之前，我们先来看看这个模型本身。\n\n076\n\n我们何以成为后人类：文学、信息科学和控制论中的虚拟身体","previous_page":75,"next_page":77}