Toward Knowledge Management in Business organizations Through Models of Distributed Intelligence

Abstract

"Knowledge Society" stated by Drucker has become realistic because of the recent advance of information networks such as the Internet systems. In business organizations, "Knowledge Management" has also become important issues to cope with. Based on these, this paper first addresses knowledge management in knowledge intensive business organizations referring to the literature of knowledge management, and discuss the applicability of models that represent dynamics of organizations. By the term "knowledge intensive business organization," we mean that members must utilize their knowledge to solve their problems and / or to achieve their goals. We characterize the concepts of knowledge management as their domains, goals, and study approaches. Then, we propose models of distributed intelligence for represent intelligent dynamics of knowledge intensive business organizations, using Distributed Artificial Intelligence (DAI) techniques. Our models especially focus on the design and analysis problems of dynamic behaviors of knowledge management in business organizations. Finally, we discuss administrative problems and application technologies for knowledge intensive business organizations, from the viewpoint of the models of distributed intelligence.