{"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":133,"pdf_page":144,"physical_index":144,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"e9dc58ae85105860b208b04b5384dd3177bdee6aecf8684e75ee5db9d916f174"},"chapter":"第五章","content":"尽管只包含两个符号的字母表在机械术语中很受欢迎，但是此处它并不是一个必要条件。我们可以以一些物理特征为例，比如：灯或明或暗，开关或开或关，电压或高或低。我们也没有必要限制符号必须按照线性排列。我们书写数字时会按照数位大小的顺序，但是方程式系统可能会按照二维数组排列符号。当然，二维的符号结构还有许多其他形式。\n\n例如，数字图像是由像素组成的二维符号阵列。其中，每个像素均代表图像在二维图格中的一部分。简单地讲，每一个像素就是一位，代表该处图像的明暗，如图8-1左侧所示的数字“7”的图像(0显示为空白，1显示为@)。这种同一场景下的粗糙图像与真实图像的唯一区别就是像素位数的多少:高分辨率图像中使用的像素位数更多（如图8-1中所示的另外两个图像)，能够更好地呈现原图的明暗与色彩。(一张高分辨率图像可能包含数百万位像素。)\n\n第日章符号与符号处理\n\n133","previous_page":132,"next_page":134}