Goal-directed requirements acquisition
6IWSSD Selected Papers of the Sixth International Workshop on Software Specification and Design
Socialware: multiagent systems for supporting network communities
Communications of the ACM
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ontologies: a silver bullet for knowledge management and electronic commerce
Ontologies: a silver bullet for knowledge management and electronic commerce
Agent-oriented software engineering for Internet agents
Coordination of Internet agents
Automatic Generation of Java/SQL Based Inference Engines from RDF Schema and RuleML
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Anthill: A Framework for the Development of Agent-Based Peer-to-Peer Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Distributed Motion Coordination with Co-Fields: A Case Study in Urban Traffic Management
ISADS '03 Proceedings of the The Sixth International Symposium on Autonomous Decentralized Systems (ISADS'03)
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Specifying and analyzing early requirements in Tropos
Requirements Engineering
A medical diagnostic and treatment advice system for the provision of home care
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Agent-based execution of personalised home care treatments
Applied Intelligence
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Multi-Agent Systems (MAS) in health-care domains are showing a rapid increase, in order to manage complex tasks and adapt gracefully to unexpected events. On the other hand, the lack of well-established agent-oriented engineering methodologies to transform knowledge level descriptions into deployable agent systems slackens MAS development. This paper presents a new methodology in modelling and automatically implementing agents in a home care domain. The representation of the application knowledge together with the codification of health care treatments lead to flexible realization of an agent platform that has the capability to capture new medical knowledge emerging from physicians.