Distributed Intelligence for Situation Assessment
The principal features of distributed intelligent (DI) system include a diversity of perspectives arising from separated individuals and a problem-solving method whereby the individuals can coordinate their activities to accomplish a collective objective. These features require numerous capabilities and supporting structures. A system that embodies such capabilities, however, seems especially well suited to situation assessment (SA) tasks. These tasks require the collection, analysis, and interpretation of widely disparate data. Moreover, comparably complex and distributed systems are often required to disseminate the results of these analyses effectively. This paper explores the relationships among structural capabilities of DI systems and functional requirements of effective SA systems. Discussed are some of the options and trade-offs of various architectural decisions in the context of two contrasting DI designs. (Author).
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