The Jini architecture for network-centric computing
Communications of the ACM
Local models semantics, or contextual reasoning = locality + compatibility
Artificial Intelligence
Learning and exploiting context in agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Role Models — Patterns of Agent System Analysis and Design
BT Technology Journal
Story Diagrams: A New Graph Rewrite Language Based on the Unified Modeling Language and Java
TAGT'98 Selected papers from the 6th International Workshop on Theory and Application of Graph Transformations
Towards the compositional verification of real-time UML designs
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Comparing formal theories of context in AI
Artificial Intelligence
Distributed context-aware systems
Human-Computer Interaction
UML 2.0 and agents: how to build agent-based systems with the new UML standard
Engineering Applications of Artificial Intelligence
Adding debugging support to the Prometheus methodology
Engineering Applications of Artificial Intelligence
Contextual diagrams as structuring mechanisms for designing configuration knowledge bases in UML
UML'00 Proceedings of the 3rd international conference on The unified modeling language: advancing the standard
Integrating free-flow architectures with role models based on statecharts
Software Engineering for Multi-Agent Systems III
Separation of concerns for mechatronic multi-agent systems through dynamic communities
Software Engineering for Multi-Agent Systems III
Fundamenta Informaticae
Systematic verification of multi-agent systems based on rigorous executable specifications
International Journal of Agent-Oriented Software Engineering
Grounding social interactions in the environment
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
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Multi-agent technology promises to provide the ability to adapt to changing external contexts. To tap this potential, context needs to play a central role in the analysis and design of multi-agent systems. In this paper, a pragmatic approach to the classification and modeling of the relevant contexts is presented, focusing on a useful operational description rather than epistemological correctness. We then show how our approach supports the analysis and design of physical and social contexts for embedded multi-agent systems using the UML, providing a number of different examples.