Visualising and debugging distributed multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Channeled multicast for group communications
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Social knowledge in multi-agent systems
Mutli-agents systems and applications
The ZEUS Agent Building Tool-kit
BT Technology Journal
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
LOTTO: group formation by overhearing in large teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A jabber-based multi-agent system platform
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Environment as a first class abstraction in multiagent systems
Autonomous Agents and Multi-Agent Systems
Specification and Verification of Dynamics in Cognitive Agent Models
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Artifacts in the A&A meta-model for multi-agent systems
Autonomous Agents and Multi-Agent Systems
Tools for analyzing intelligent agent systems
Web Intelligence and Agent Systems
MAS Modeling Based on Organizations
Agent-Oriented Software Engineering IX
Towards Providing Social Knowledge by Event Tracing in Multiagent Systems
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
Adding debugging support to the Prometheus methodology
Engineering Applications of Artificial Intelligence
On the application of clustering techniques to support debugging large-scale multi-agent systems
ProMAS'06 Proceedings of the 4th international conference on Programming multi-agent systems
Environment as active support of interaction
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Current issues in multi-agent systems development
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
Overhearing and direct interactions: point of view of an active environment
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Infrastructures and tools for multiagent systems for the new generation of distributed systems
Engineering Applications of Artificial Intelligence
MaNEA: A distributed architecture for enforcing norms in open MAS
Engineering Applications of Artificial Intelligence
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Agent's flexibility and autonomy, as well as their capacity to coordinate and cooperate, are some of the features which make multiagent systems useful to work in dynamic and distributed environments. These key features are directly related to the way in which agents communicate and perceive each other, as well as their environment and surrounding conditions. Traditionally, this has been accomplished by means of message exchange or by using blackboard systems. These traditional methods have the advantages of being easy to implement and well supported by multiagent platforms; however, their main disadvantage is that the amount of social knowledge in the system directly depends on every agent actively informing of what it is doing, thinking, perceiving, etc. There are domains, for example those where social knowledge depends on highly distributed pieces of data provided by many different agents, in which such traditional methods can produce a great deal of overhead, hence reducing the scalability, efficiency and flexibility of the multiagent system. This work proposes the use of event tracing in multiagent systems, as an indirect interaction and coordination mechanism to improve the amount and quality of the information that agents can perceive from both their physical and social environment, in order to fulfill their goals more efficiently. In order to do so, this work presents an abstract model of a tracing system and an architectural design of such model, which can be incorporated to a typical multiagent platform.