Self-organizing maps
Story-marking with improvisational puppets
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Integrating pedagogical capabilities in a virtual environment agent
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Increasing believability in animated pedagogical agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Animated autonomous personal representatives
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Real-time decision making in multimodal face-to-face communication
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Using singular value decomposition to visualise relations within multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
Visualising and debugging distributed multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
Information visualization: perception for design
Information visualization: perception for design
FURY: Fuzzy Unification and Resolution Based on Edit Distance
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
Visualizing Potential Communities: A Multiagent Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Defining like-minded agents with the aid of visualization
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
In-formation flocking: an approach to data visualization using multi-agent formation behavior
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Tracking causality by visualization of multi-agent interactions using causality graphs
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
Data clustering and visualization using cellular automata ants
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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Interesting features of complex agent systems can be captured as multivariate data. There are a number of different approaches to visualizing such data. In this paper, we focus on methods which reduce the dimensions of the data through matrix transformations and then visualise the entities in the lower-dimensional space.We review an approach which describes agent similarities through distances, which are then visualised by multi-dimensional scaling techniques. We point out some shortcomings of this approach and examine an alternative, which applies principal component analysis and subsequent visualisation directly to the data. Our approach is implemented in the Space Explorer tool, which also allows interactive exploration.We identify four categories of data, which capture interaction, profiles, time series, and combinations of these three. Then we consider how to employ them for various agent types such as communicating, mobile, personal, interface, information and collaborating agents. Finally, we examine real-world telecoms data of 90,000 calls with Space Explorer.