{"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":30,"pdf_page":41,"physical_index":41,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"268472a4456976d12074e01fe0ff8809c670b8daff1830ca48e193d4340ed8d2"},"chapter":"人工智能的进化","content":"所以，即使拥有电子探针等最先进的测试设备，神经科学家依然无法还原M的原始程序。虽然能够不受限制地接触所有相关元件，甚至对这些元件的构成了如指掌，但这依然不能保证我们弄清像M的行为方式一样看似简单的事情。\n\n简而言之，这就是神经科学的困难所在。\n\n即使我们能够获取构成人脑的1000亿个神经元，即使我们能够将这些神经元视为理想的无噪声数字元件，我们也仍然无法搞清自己行为方式背后的原因。如果神经科学家处理的是真正的神经系统的组成，而非电子元件，就会看到大量正在进行当中的化学和生物反应，它们错综复杂、难以梳理。比如，我们是如何记住某种现象的?我们如何根据这些现象得出新的结论?我们如何根据这些结论确定自己的行为?显而易见,这些问题都要比搞清M为何发出三次响声复杂得多。在神经科学领域（即使是最尖端的神经科学)，寻求这些问题的答案确实是勉为其难了。\n\n我们只能另寻他法。\n\n一条解决的途径\n\n当我们努力搞清某种复杂现象时—人类思维当然也是这种复杂现象之一—我们通常有两种选择：我们可以研究产生这种现象的主体(即人脑)，也可以直接研究现象本身。以研究飞行为例，在飞机出现之前，人类就想要知道像鸟类和蝙蝠这些动物是如何飞行的，也想尝试制造能够飞行的机器。因此，有两种方法可以开始着手：\n\n人工智能的进化\n\n030","previous_page":29,"next_page":31}