A MULTIAGENT ODSS ARCHITECTURE FOR SUPPORTING DISTRIBUTED DECISION-MAKING

In this paper, we present an architecture of an ODSS that focuses on o rganizational learning to enhance the organization's memory and distri bution of the organization's intelligence throughout the organization to the various units that need it in their decision-making process. Le arning in this ODSS is done by multiple intelligent agents that are de signed to gather, accumulate and classify information in order to assi st the decision-maker.