{"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":189,"pdf_page":200,"physical_index":200,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"3e8da4aec6ea606a50d92007fbaf99fef3223190912debb7d693c1b4b402aa0b"},"chapter":"第10章 人工智能技术应用","content":"关于建设大型知识库这一问题，CYC是相关的一个长期项，参见Building Large Knowledge-Based Sytems: Representationand Inference in the CycProject。（由于无法深入了解，因此目前很难说清CYC取得了何种成果，总体来说不太像可控的科学研究。)斯坦福国际研究院的HALO(见A question-answering systemfor AP chemistry: assessing KR&R technologies.) 和 AURA (参见Achieving intelligence using prototypes, composition, and analogy)艾伦人工智能研究所的ARISTO（见Elementary school scienceand math tests as a driver for AI: Take the Aristo challenge!) 是其他相关且更为专业的工作。关于从网络自动从文本中提取知识的前景，请参阅 Open information extraction from the web—文的回顾。\n\n最后，在网页(https://sites.google.com/site/krr2015/)上可以看到，该研讨会对调和GOFAI中的逻辑方法与AML中的统计方法进行了新的尝试。\n\n第10章 人工智能技术应用\n\n关于人工智能的未来，本章涉及的仅仅是几个棘手的问题。\n\n注 释\n\n189","previous_page":188,"next_page":190}