DYNASTAT: A Methodology for Dynamic and Static Modeling of Multi-agent Systems
|dc.contributor.author||Dillon, Tharam S.|
|dc.contributor.editor||Claudia Plant and Christian Böhm|
|dc.identifier.citation||Dillon, Darshan S. and Hadzic, Maja and Dillon, Tharam S. 2010. DYNASTAT: A Methodology for Dynamic and Static Modeling of Multi-agent Systems, in Plant, C. and Böhm, C. (ed), Database technology for life sciences and medicine, pp. 11-33. Germany: World Scientific Publishing.|
Multi-agent systems are increasingly being used within various knowledge domains. The need for modeling of the multi-agent systems in a systematic and effective way is becoming more evident. In this chapter, we present the DYNASTAT methodology. This methodology involves a conceptual overview of multi-agent systems, a selection of specific agent characteristics to model, and a discussion of what has to be modeled for each of these agent characteristics. DYNASTAT is independent of any particular modeling language but provides a framework that can be used to realize a particular language in the context of a real-world example. UML 2.2 was chosen as the modeling language to implement the DYNASTAT methodology and this was illustrated using examples from the medical domain. Several UML 2.2 diagrams were selected including a use case, composite structure, sequence and activity diagram to model a multi-agent system able to assist botha medical researcher and a primary care physician. UML 2.2 provides a framework for effective modeling of agent-based systems in a standardized way which this chapter endeavors to demonstrate.
|dc.publisher||World Scientific Books|
|dc.title||DYNASTAT: A Methodology for Dynamic and Static Modeling of Multi-agent Systems|
|dcterms.source.title||Database technology for life sciences and medicine|
DYNASTAT: A Methodology for Dynamic and Static Modeling of Multi-agent System, Database technology for life sciences and medicine, Dillon, Darshan S. and Hadzic, Maja and Dillon, Tharam S., in Plant, C. and Böhm, C. (ed), Copyright © 2010 World Scientific Publishing Co. Ptd. Ltd. Published with permission from World Scientific Publishing Co. Ptd. Ltd.
|curtin.department||Digital Ecosystems and Business Intelligence Institute (DEBII)|