I-SSA: Interaction-Situated Semantic Alignment
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Probabilistic Dialogue Models for Dynamic Ontology Mapping
Uncertainty Reasoning for the Semantic Web I
Engineering Applications of Artificial Intelligence
A qualitative reputation system for multiagent systems with protocol-based communication
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Magentix2: A privacy-enhancing Agent Platform
Engineering Applications of Artificial Intelligence
Automated buyer profiling control based on human privacy attitudes
Electronic Commerce Research and Applications
| Hi-index | 0.00 |
We present a novel method for analysing the behaviour of multiagent systems on the basis of the semantically rich information provided by agent communication languages and interaction protocols. Contrary to analysis methods that rely on observing more low-level patterns of behaviour [3, 4], our method is based on exploiting the semantics. These languages and protocols which can be used to extract qualitative properties of observed interactions. This can be achieved by interpreting the logical constraints associated with protocol execution paths or individual messages as models of the context of an observed interaction, and using them as features of learning samples.