A Distributed Intelligenge Paradigm for Knowledge Management

Bonifacio, Matteo and Bouquet, Paolo and Manzardo, Alberto (2000) A Distributed Intelligenge Paradigm for Knowledge Management. UNSPECIFIED.

Download (248Kb) | Preview


    In the last ten years, knowledge management (KM) has become a new fashioned managerial practice. Though KM theories seem to benefit from a "contamination" with cognitive and social sciences, which emphasize a subjective, contextual, and distributed approach to knowledge representation and integration, current technologies support what we may call a "god's eye" paradigm, in which knowledge is viewed as an objective resource. In this paper we discuss artificial intelligence theories and technologies that can support a shift to a new paradigm, called the "distributed intelligence" paradigm, in designing KM systems. Using the evolution of KM systems within Arthur Andersen Consulting as a motivating case study, we propose the framework of it MultiContext Systems as a specification language for distributed intelligence KM systems, and sketch an agent-based architecture as an example of a KM system which embodies the assumptions of the distributed intelligence paradigm.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: H Social Sciences > H Social Sciences (General)
    Uncontrolled Keywords: knowledge management, agent-based architecture, case studies
    Additional Information: Also in: "Proceedings of the AAAI'2000 Spring Symposium on Bringing Knowledge to Business Processes"
    Report Number: DIT-02-068
    Repository staff approval on: 21 Jan 2003

    Actions (login required)

    View Item