Visualising and debugging distributed multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
Software engineering (6th ed.)
Software engineering (6th ed.)
Debugging multi-agent systems using design artifacts: the case of interaction protocols
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
The Art of Software Testing
Modelling mobility and mobile agents using nets within nets
ICATPN'03 Proceedings of the 24th international conference on Applications and theory of Petri nets
Debugging agent behavior in an implemented agent system
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
Formal semantics for AUML agent interaction protocol diagrams
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
Analysis of multi-agent interactions with process mining techniques
MATES'06 Proceedings of the 4th German conference on Multiagent System Technologies
Debugging Mobile Agent Systems
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Debugging of multi-agent systems (MAS) is hard due to their distributed, concurrent, adaptive, highly interactive, flexible, mobile and heterogeneous nature.We identify three dimensions (activities, scale, and coupling) that span the area of debugging and derive general requirements for a debugging toolset in the multi-agent context. An implementation of a toolset w.r.t. the requirements given for the MAS reference architecture Mulan is presented. This toolset comprises general low level debugging possibilities that are included in the virtual machine (execution engine Renew), specialized Mulan-dependent debugging facilities that enable debugging on higher (agent concepts and independent debugging aspects that rely on publicly available information - i.e. message logs - together with advanced techniques, such as visualization and mining.