Knowledge Architectures for Real Time Decision Support
This chapter deals with the presentation, illustrated by examples, of an architecture aiming to the representation of knowledge for real time decision support for physical systems management. However the proposed approach may be used to deal with other decision support systems where a level of behavior modeling be required.
First, the concept of representation based on knowledge level specification of an agent with subsequent modeling using generic tasks is presented. Second, the general pattern for reasoning and knowledge structuring of an agent for decision support on physical systems is presented together with some considerations on the alternative approaches for physical behavior modeling. Third, the example of real time flood management agent is discussed. A knowledge level structure is proposed initially and two symbolic level representations are proposed addressing the specification: the CYRAH and SIRAH architectures. Both approaches are described from the criteria for representation and inference to the operational aspects.
Fourth, to show the possibilities of the approach in a different field the real time traffic management problem is analyzed proposing an architecture adapted to a pattern for reasoning for traffic control strategy real time adaptation to present and emerging problems. This approach is now in course of implementation in several specific projects.
Finally, some comments are proposed on integration of knowledge based approach and conventional software approach suggested by these experiences.
KeywordsTransportation Prefix OECD Exter
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