Knowledge Science: Modeling the Knowledge Creation Process (Hardcover)

Knowledge science is an emerging discipline resulting from the demands of a knowledge-based economy and information revolution. Explaining how to improve our knowledge-based society, Knowledge Science: Modeling the Knowledge Creation Process addresses problems in collecting, synthesizing, coordinating, and creating knowledge. The book introduces several key concepts in knowledge science:

• Knowledge technology, which encompasses classification, representation, modeling, identification, acquisition, searching, organization, storage, conversion, and dissemination
• Knowledge management, which covers three different yet related areas (knowledge assets, knowing processes, knower relations)
• Knowledge discovery and data mining, which combine databases, statistics, machine learning, and related areas to discover and extract valuable knowledge from large volumes of data
• Knowledge synthesis, knowledge justification, and knowledge construction, which are important in solving real-life problems

Specialists in decision science, artificial intelligence, systems engineering, behavioral science, and management science, the book’s contributors present their own original ideas, including an Oriental systems philosophy, a new episteme in the knowledge-based society, and a theory of knowledge construction. They emphasize the importance of systemic thinking for developing a better society in the current knowledge-based era.

知識科學是一門新興學科，源於知識經濟和信息革命的需求。《知識科學：建模知識創造過程》解釋了如何改善我們的知識型社會，並解決在收集、綜合、協調和創造知識方面的問題。該書介紹了知識科學中的幾個關鍵概念：

- 知識技術，包括分類、表示、建模、識別、獲取、搜索、組織、存儲、轉換和傳播。
- 知識管理，涵蓋三個不同但相關的領域（知識資產、知識過程、知識關係）。
- 知識發現和數據挖掘，結合數據庫、統計、機器學習等領域，從大量數據中發現和提取有價值的知識。
- 知識綜合、知識合理化和知識構建，在解決現實問題中至關重要。

該書的專家來自決策科學、人工智能、系統工程、行為科學和管理科學等領域，他們提出了自己的原創思想，包括東方系統哲學、知識型社會中的新知識體系和知識構建理論。他們強調系統思維對於在當前知識型時代發展更好的社會的重要性。