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Multi-agent Systems (MAS) have been considered as an alternative for
the construction of the Organizational Memory (OM), supporting the Knowledge
Management (KM) in organizations. The agents´ autonomy, proactivity
and ability to interact help in the creation of functional KM solutions.
This project proposes a methodology for the MAS's conception. The approach
starts with the organizational processes analysis to accomplish the
knowledge modeling, followed by the use of a KM ontology to guide intelligent
agents' identification. The agents are generated by a framework, from
a library of behaviors specialized in KM activities, which use Artificial
Intelligence technologies (search algorithms, case based reasoning,
inductive learning, etc.). The generated MAS is associated with business
processes, allowing their inclusion in the user work context, thus,
capturing and recovering knowledge in a continuous and transparent manner. Related sites:
Acacia Project |