Abstract / Description of output
This paper presents an approach for the qualitative analysis of data obtained
from past communicative interactions in an open multiagent system.
Such qualitative analysis focuses on the use of high-level agent communication
languages to infer theories about agents with mental states which are
normally not accessible for the outside observer. The inference of these theories,
or context models, is based on logging semantic data available from
protocol execution traces and using this information as samples for the application
of data mining algorithms. These context models can be applied both
by system developers and agents themselves at run-time for various tasks,
e.g. to predict future agent behaviour, to support the process of ontological
alignment in communication, or to assess the trustworthiness of agents. An
implementation of the approach presented is also given, the ProtocolMiner
tool, which automates the building of context models from arbitrary protocol
executions.
Original language | English |
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Title of host publication | Proceedings of The Third International Workshop on INFRASTRUCTURES AND TOOLS FOR MULTIAGENT SYSTEMS ITMAS 2012 |
Publisher | Editorial Universitat Politècnica de València |
Pages | 79-92 |
Number of pages | 14 |
ISBN (Print) | 978-84-8363-850-7 |
Publication status | Published - 2012 |