KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
prefuse: a toolkit for interactive information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An Ontology for Observation of Multiagent Based Simulation
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
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In MultiAgent Based Simulation (MABS), the observation of simulation results is a complex task: interactions between agents produce a large mass of results, which is particularly complex to analyze. We focus on agents' interactions by message exchanges, from the point of view of human observers. In order to facilitate the observation and the analysis of interactions, we propose an upper level of abstraction, compared to the level that focuses on messages, by defining the concept of conversation. A conversation synthesizes information from a set of messages. A conversation is composed of three parts: the metadata, which are synthetic and objective information on the conversation; knowledge, which is specific information that depend on the human observer; and the identifiers of messages that compose the conversation. We illustrate the conversation level with the simulation of animal waste management at a territory scale.