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.
Table of Contents
Introduction, Yoshiteru Nakamori
Knowledge Technology, Zhongtuo Wang
Knowledge Management, Zhichang Zhu
Knowledge Discovery, Tu Bao Ho
Knowledge Synthesis, Jifa Gu
Knowledge Justification, Andrzej (Andrew) Piotr Wierzbicki
Knowledge Construction, Yoshiteru Nakamori
Yoshiteru Nakamori is a professor in the School of Knowledge Science at the Japan Advanced Institute of Science and Technology (JAIST). His research encompasses systems methodology, environmental studies, and agent-based simulation.