{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"7f418071-0fdc-4a5a-a4c5-82dd1979d9c2","title":"人工智能哲学","author":null,"edition":null,"publisher":null,"year":null,"isbn":"7532740544","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"7f418071-0fdc-4a5a-a4c5-82dd1979d9c2","id":"7f418071-0fdc-4a5a-a4c5-82dd1979d9c2","uuid":"7f418071-0fdc-4a5a-a4c5-82dd1979d9c2","title":"人工智能哲学","normalized_title":"人工智能哲学","author":null,"edition":null,"publisher":null,"year":null,"isbn":"7532740544","isbns":["7532740544"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":501,"navigation_url":"https://workshop.closeclaw.top/ai/book/7f418071-0fdc-4a5a-a4c5-82dd1979d9c2","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%93%B2%E5%AD%A6","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/7f418071-0fdc-4a5a-a4c5-82dd1979d9c2/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/7f418071-0fdc-4a5a-a4c5-82dd1979d9c2/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/7f418071-0fdc-4a5a-a4c5-82dd1979d9c2","page_url":"https://workshop.closeclaw.top/api/ai/books/7f418071-0fdc-4a5a-a4c5-82dd1979d9c2/page","search_url":"https://workshop.closeclaw.top/api/ai/books/7f418071-0fdc-4a5a-a4c5-82dd1979d9c2/search"},"page":{"printed_page":308,"pdf_page":316,"physical_index":316,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"062f0b9175abc661c2e36f4530f7b8636e37286402c195ab60bfcf727b93cbeb"},"chapter":"人工智能哲学","content":"戴维斯的解释(将遁词虚拟“因果”公因子标准化，见下文第3节)看来是令人信服的。将其加以归纳，我们就最后得出任何真正的经典认知模型都具有的下列特征：\n\n(根据对语言能力理论的态度定义的经典主义。)\n\n一个认知模型，如果它的加工层次描述与一个标准语言能力理论的结构有着某种相当密切的关系，那么它就是经典的。一个标准的语言能力理论假定了一组推导规则或原理，经定义，可按照它们的形式将它们应用于一类结构式的符号表述方式。根据要求，密切关系包括(1)在加工层次描述中，对定义规则所依据的结构表述方式的显式表述，以及(2)对那些规则和原理本身的显式或默认的表述。一个规则或原理只有在这种条件下才被判定是以默认形式表述的：在加工层次的描述中存在着一个因果公因子，无论该规则或原理在语言能力层次的转变说明中是否被援引，该因子都是在起作用。\n\n这就是“经典上下贯通形式”的内容通过玛尔解释层次时所呈现的复杂曲折的细节(我对此表示抱歉)。联结论像水坝一样阻拦了这个“瀑布”[1]。它是怎样做到这一点的，又会产生什么样的渠道，这是我们在下文中要讨论的内容。\n\n人工智能哲学\n\n308","previous_page":307,"next_page":309}