Next: Introduction
Corporate Memories as Distributed Case Libraries
M.V. Nagendra Prasad
Dept. of Computer Science
University of
Massachusetts
Amherst, MA 01003, USA
nagendra@cs.umass.edu
Enric Plaza
IIIA - Artificial Intelligence Research Institute
CSIC -
Spanish Council for Scientific Research
Campus UAB, 08193, Bellaterra
Catalonia, Spain
enric@iiia.csic.es
Abstract:
Rising operating costs and structural transformations such
as resizing and globalization of companies all over the world have
brought into focus the emerging discipline of knowledge management
that is concerned with making knowledge pay off. Corporate memories
form an important part of such knowledge management initiatives in a
company. In this paper, we discuss how viewing corporate memories as
distributed case libraries can benefit from existing techniques for
distributed case-based reasoning for resource discovery and
exploitation of previous expertise. We present two techniques
developed in the context of multi-agent case-based reasoning for
accessing and exploiting past experience from corporate memory
resources. The first approach, called Negotiated Retrieval, deals with
retrieving and assembling ``case pieces'' from different resources in
a corporate memory to form a good overall case. The second approach,
based on Federated Peer Learning, deals with two modes of cooperation
called DistCBR and ColCBR that let an agent exploit the experience and
expertise of peer agents to achieve a local task.