A Multi-Agent ODSS Architecture for Supporting Distributed Decision-Making

In this paper, we present an architecture of an ODSS that focuses on organizational learning to enhance the organization's memory and distribution of the organization's intelligence throughout the organization to the various units that need it in their decision-making process. Learning in this ODSS is done by multiple intelligent agents that are designed to gather, accumulate and classify information in order to assist the decision-maker.