Petri nets: an introduction
The contract net protocol: high-level communication and control in a distributed problem solver
Distributed Artificial Intelligence
Concurrent programming: principles and practice
Concurrent programming: principles and practice
Model checking
ROCK: a robust clustering algorithm for categorical attributes
Information Systems
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Machine Learning
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
What Is Software Testing? And Why Is It So Hard?
IEEE Software
Data visualization for domain exploration: interactive statistical graphics
Handbook of data mining and knowledge discovery
RacerX: effective, static detection of race conditions and deadlocks
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
CMC: a pragmatic approach to model checking real code
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Graph-based methods for the analysis of large-scale multiagent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Evaluation of Multi-Agent System Communication in INGENIAS
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Tracking causality by visualization of multi-agent interactions using causality graphs
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
Detection of undesirable communication patterns in multi-agent systems
Engineering Applications of Artificial Intelligence
Debugging BDI-based multi-agent programs
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
TRAMMAS: A tracing model for multiagent systems
Engineering Applications of Artificial Intelligence
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This work analyses the problematic of debugging a multi-agent system. It starts from the fact that MAS are a particular type of distributed systems in which the active entities are autonomous in the sense that behavior and knowledge of the whole system is distributed among agents. It situates the problem by firstly studying the classical approaches for conventional code debugging and also the techniques used in distributed systems in general. From this initial perspective, it tries to situate agent and multi-agent systems debugging. It finally proposes the use of conventional data mining tasks like clustering to, by summarising, help in debugging huge MAS.