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Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since 7 April 2005
New
Condition: New
Ships within U.S.A.
Quantity: Over 20 available
Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since 7 April 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller Inventory # L0-9781665801072
◎前言◎
在這個強調跨領域融合與創新加速的時代,如何設計出符合現代需求、又延續傳統智慧的中藥配方,是一項極具挑戰的任務。本書所探討的「關聯式創新」,正是一種應對這項挑戰的全新思維框架。
若要用一句話定義關聯式創新,那便是:一種運用符號關係來發明新事物的思維模式。這種思維模式不同於單一經驗的延伸,它強調的是有系統地發現、分析並重組各種「關聯」,進而催生出真正創新的成果。
核心在於「符號關係運算」。這並非僅僅是數學或程式語言的技術,而是一種通用語言,用以描繪並理解我們世界中隱含的模式與結構。從自然科學到工程設計,從經濟分析到演算法優化,符號關係運算無處不在。它不只是解決問題的工具,更提供了批判性思維、邏輯推理與系統建模的能力,是促進創新與深化理解的基礎。
應用於中藥創新時,這樣的思維格外有價值。當我們有了創造新配方的目標,便會開始蒐集資料:疾病症狀、藥物性味歸經、治療機理、傳統配伍、現代實驗結果等。這些資訊在關聯式創新的過程中會被轉化為一組組符號,彼此間形成可運算的結構關係。透過這樣的架構,我們不僅能夠系統性地整理現有知識,更能從中推演出未被發現的潛在組合,設計出既合乎中醫邏輯,又具備現代解釋力的新方劑。
關聯式創新所生成的成果不限於配方本身,還可能包括新的辨證思維模式、新藥材分類方式、新藥理機制的假說,乃至於全新的診療流程。只要能透過語言或邏輯描述,這些發明都可以透過「發明關係」來構造。
本書將帶領讀者深入理解關聯式創新的原理與方法,並以實際的中藥設計案例展示如何將之應用於藥方創新。我們誠摯期盼,這本書能為中醫藥界與創新實踐者,提供一種嶄新的視野與可行的工具,讓中醫藥在現代社會中不僅被理解,更能被拓展、被創造、被再定義。我要感謝學習林建良老師中醫課堂筆記並從中得到啟發。最後,我也要深深感謝加州中醫師和加州白水大學中醫學院教授康明蘭,因為我從她那裡學習到許多寶貴的中醫知識。
本書撰寫期間,部分文字表達與語句潤飾,曾透過 OpenAI 所開發的人工智慧語言模型 ChatGPT 進行修訂建議,特此誌謝。
▲張適宇是數據科學和人工智慧技術的專家,並致力於將他的關聯式創新理論推廣到各個需要進步的領域。
Shih-Yu Chang is an expert in data scienties and AI technology. Besides, he is interested in promotion his theory: invention, to various fields that need improvement.
▲康明蘭是加州的中醫針灸師,她對如何運用中醫幫助更多人感興趣。
Mina Kang is a Chinese acupuncture in California and she is interested in how to apply Chinese medicine to help more people.
"About this title" may belong to another edition of this title.
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