{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"72c4da97-7cf2-441a-a985-c1252297d6a3","title":"人工智能的进化 计算机思维离人类心智还有多远","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508685670","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"72c4da97-7cf2-441a-a985-c1252297d6a3","id":"72c4da97-7cf2-441a-a985-c1252297d6a3","uuid":"72c4da97-7cf2-441a-a985-c1252297d6a3","title":"人工智能的进化 计算机思维离人类心智还有多远","normalized_title":"人工智能的进化计算机思维离人类心智还有多远","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508685670","isbns":["9787508685670"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":216,"navigation_url":"https://workshop.closeclaw.top/ai/book/72c4da97-7cf2-441a-a985-c1252297d6a3","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E8%BF%9B%E5%8C%96%20%E8%AE%A1%E7%AE%97%E6%9C%BA%E6%80%9D%E7%BB%B4%E7%A6%BB%E4%BA%BA%E7%B1%BB%E5%BF%83%E6%99%BA%E8%BF%98%E6%9C%89%E5%A4%9A%E8%BF%9C","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/72c4da97-7cf2-441a-a985-c1252297d6a3/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/72c4da97-7cf2-441a-a985-c1252297d6a3/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/72c4da97-7cf2-441a-a985-c1252297d6a3","page_url":"https://workshop.closeclaw.top/api/ai/books/72c4da97-7cf2-441a-a985-c1252297d6a3/page","search_url":"https://workshop.closeclaw.top/api/ai/books/72c4da97-7cf2-441a-a985-c1252297d6a3/search"},"page":{"printed_page":150,"pdf_page":161,"physical_index":161,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"adeea8120bb33b9f853b3e95e6b0392f17cd00043cec062e634fcc307cc5104e"},"chapter":"第9章","content":"另外，如果这种基于知识的方法是有效的，也就是说，如果有一个能够访问，并且可以使用人类一切知识的计算系统，那么它就需要一个庞大的知识库和一个足以高效处理大量符号结构的计算应用程序。这些要求也制约了其自身。\n\n我认为，如果没有相应的巨大进步，任何建立大型知识体系的企图都注定失败。那种企图将一台空白的电脑联网，让其自学，让其自行完成所有费力工作的想法就是空想。通过自学认识猫是一回事，通过自学学会阅读是一回事，而学习阅读维特根斯坦（Wittgenstein）的著作又是另一回事。在计算系统从我们所知中获益之前，它需要先填鸭式地接收我们所了解的一切，并能有效地使用。即使我们知道如何回答表示和推理问题，但把这些想法付诸实践仍然是一个令人却步的挑战。\n\n不过，这就是所有的猜测了。最后，我们所剩的只有一个经验性的问题：怎样的计算设计才足以解释其对应的智能行为呢？\n\n本章的讨论至此结束，接下来是有关人工智能研究的内容。\n\n人工智能的进化\n\n150","previous_page":149,"next_page":null}