{"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":174,"pdf_page":185,"physical_index":185,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"f4c5cd464f9256c2ed30fece5a77136bc7dcc16c60aa94fbf1f7c9310e30f2b2"},"chapter":"第1章什么是人工智能?","content":"Nilsson)的著作(The Quest for Artificial Intelligence:A History of IdeasandAchievements)涉及的领域更多，而且可以在网上获取。\n\n由于人工智能领域纷繁复杂，想通过一本书就解决全部问题似乎不太可能。但是斯图尔特·拉塞尔(StuartRussell)和彼得·诺维格(Peter Norvig)的著作(Artificial Intelligence:AModernApproach)却恰恰做到了这一点。该书介绍了所有主要技术的发展方向，还涵盖了历史和哲学背景知识，仅参考书目就有30页之多，而且字体很小，确实物有所值。但是这本书内容技术性较强，适合高年级的大学生阅读。我自己使用的课本（Thinkingas Computation: A First Course)内容较为通俗，其中涉及人工智能的内容更适合大众阅读。\n\n据我所知，关于人工智能技术的最新趋势这一话题，目前还没有什么好书值得推荐，而且技术发展日新月异，对于读者来说，最好的办法是翻阅新近出版的报纸、杂志，寻找相关文章，有些文章直接在网上就能找到，比如关于丰田投资的消息，关于OpenAI项目等内容。至于我在书中提到的自适应机器学习的技术前景，我建议上网搜索“无监督学习”“深度学习”或者“人工智能技术”。[另一种办法是网上搜索该领域的代表人物，比如我的同事杰弗里·欣顿(GeoffreyHinton)]。想要进一步了解机器学习，Machine Learning: A Probabilistic Perspective 是非常优秀(但也颇有难度）的教材。文章Building high-level features usinglargescale unsupervised learning中则有在图像中对猫进行识别的介绍。\n\n人工智能的进化\n\n174","previous_page":null,"next_page":175}