{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"ea3b7167-0435-4a94-84b9-80a5359326a4","title":"递归与偶然","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787576004694","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"ea3b7167-0435-4a94-84b9-80a5359326a4","id":"ea3b7167-0435-4a94-84b9-80a5359326a4","uuid":"ea3b7167-0435-4a94-84b9-80a5359326a4","title":"递归与偶然","normalized_title":"递归与偶然","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787576004694","isbns":["9787576004694"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":401,"navigation_url":"https://workshop.closeclaw.top/ai/book/ea3b7167-0435-4a94-84b9-80a5359326a4","title_url":"https://workshop.closeclaw.top/ai/title/%E9%80%92%E5%BD%92%E4%B8%8E%E5%81%B6%E7%84%B6","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/ea3b7167-0435-4a94-84b9-80a5359326a4/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/ea3b7167-0435-4a94-84b9-80a5359326a4/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/ea3b7167-0435-4a94-84b9-80a5359326a4","page_url":"https://workshop.closeclaw.top/api/ai/books/ea3b7167-0435-4a94-84b9-80a5359326a4/page","search_url":"https://workshop.closeclaw.top/api/ai/books/ea3b7167-0435-4a94-84b9-80a5359326a4/search"},"page":{"printed_page":163,"pdf_page":175,"physical_index":175,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"1c003be143f5774928bd75c9b15b17c5874ba697101e34f6e5a1de477af67d32"},"chapter":"第二章逻辑与偶然","content":"§23 辩证法的信息\n\n[130]我们想进一步说明，控制论的另一个关键概念，即信息，从根本上是偶然和递归的。我们希望通过引入信息的概念，超越看似僵化的数学模型。先提一个有些奇怪的问题：黑格尔辩证法的信息是什么？如果这个问题成立，该怎么表达它呢？维纳、香农以及在他们之前的人所说的信息是定量的，它是秩序和无序的量度。我们知道对维纳来说，信息是秩序的量度；因此，信息更多意味着系统更有序(熵更少，负熵更多)。在这个意义上，维纳的信息与概率密切相关。正如著名的玻尔兹曼方程S=klogP所指出的，熵的增加恰恰意味着从概率较小到较大的运动。①而对香农来说，信息是“意外”的量度：一个即将发生的事件包含的意外越多，信息就越多。\n\n第二章 逻辑与偶然\n\n163\n\n(接上页注)意了(就像黑格尔的体系那样)。因此出现了一个自我支撑的建构。”默勒也指出，卢曼认为他的系统更先进，因为卢曼认为黑格尔的反思逻辑不能包含主体自身—尽管我们知道事实并非如此。见汉斯-乔治·默勒，《解读卢曼：从灵魂到系统》(LuhmannExplained：FromSouls to Systems)，芝加哥和拉萨尔：Open Court，2006 年，第 173175页。\n\n① S=熵，k=玻尔兹曼常数，P=概率。","previous_page":162,"next_page":164}