Role-Based Access Control Models
Computer
Exception handling in agent systems
Proceedings of the third annual conference on Autonomous Agents
Autonomous Agents and Multi-Agent Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Modeling exceptions via commitment protocols
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
The Taverna Interaction Service
Bioinformatics
Using multi-agent platform for pure decentralised business workflows
Web Intelligence and Agent Systems
Non-standard reasoning services for the debugging of description logic terminologies
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A tableaux decision procedure for SHOIQ
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Reasoning with inconsistent ontologies
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Hi-index | 0.00 |
Workflows represent the coordination requirements of various distributed operations in an organisation. Typical workflow management systems are centralised and rigid; they cannot cope with the unexpected flexibly. Multi-agent systems offer the possibility of enacting workflows in a distributed manner, via software agents which are intelligent and autonomous, and respect the constraints in a norm-governed organisation. Agents should bring flexibility and robustness to the workflow enactment process. In this paper, we describe a method for building a norm-governed multi-agent system which can enact a set of workflows and cope with exceptions. We do this by providing agents with knowledge of the organisation, the domain, and the tasks and capabilities of agents. This knowledge is represented with Semantic Web languages, and agents can reason with it to handle exceptions autonomously.