{"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":389,"pdf_page":397,"physical_index":397,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"98437d9408d68625b38edffefb698e5e96c9e4d96a6fc9732f513aabe253f6e1"},"chapter":"人工智能哲学","content":"这里可以用一个很简单的例子再现一些这样的可能性。我们来看一个高度复杂的、周密编制的周期运动，如猫的运动器官活动情况(图14-12a)。现在考察猫后肢的三维关节角度运动状态空间，在这个空间中，该肢体的每一可能的构形都由一点来表示，而每个可能的运动由一个连续轨迹来表述。这只飞跑的猫的优雅步伐的周期可很经济地由那个关节角度状态空间(图14-12b)中的一个闭环来表示。如果以某种方式详细说明或“标记”出这个相关的环，那么协调运动这种令人生畏的任务就简化为一个简单的追踪问题：使你的运动状态空间位置沿着这个环的轨迹行进。\n\n14 认知神经生物学中的某些简化策略\n\n389","previous_page":388,"next_page":390}