Exchanging Reputation Values among Heterogeneous Agent Reputation Models: An Experience on ART Testbed. Brandão, A. A. F., Vercouter, L., Casare, S., & Sichman, J. In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, of AAMAS '07, pages 1–3. Association for Computing Machinery.
Exchanging Reputation Values among Heterogeneous Agent Reputation Models: An Experience on ART Testbed [link]Paper  doi  abstract   bibtex   
In open MAS it is often a problem to achieve agents' interoperability. The heterogeneity of its components turns the establishment of interaction or cooperation among them into a non trivial task, since agents may use different internal models and the decision about trust other agents is a crucial condition to the formation of agents' cooperation. In this paper we propose the use of an ontology to deal with this issue. We experiment this idea by enhancing the ART reputation model with semantic data obtained from this ontology. This data is used during interaction among heterogeneous agents when exchanging reputation values and may be used for agents that use different reputation models.
@inproceedings{Brandao2007,
  title = {Exchanging Reputation Values among Heterogeneous Agent Reputation Models: An Experience on {{ART}} Testbed},
  shorttitle = {Exchanging Reputation Values among Heterogeneous Agent Reputation Models},
  booktitle = {Proceedings of the 6th International Joint Conference on {{Autonomous}} Agents and Multiagent Systems},
  author = {Brandão, Anarosa A. F. and Vercouter, Laurent and Casare, Sara and Sichman, Jaime},
  date = {2007-05-14},
  series = {{{AAMAS}} '07},
  pages = {1--3},
  publisher = {Association for Computing Machinery},
  location = {New York, NY, USA},
  doi = {10.1145/1329125.1329405},
  url = {https://doi.org/10.1145/1329125.1329405},
  urldate = {2025-04-03},
  abstract = {In open MAS it is often a problem to achieve agents' interoperability. The heterogeneity of its components turns the establishment of interaction or cooperation among them into a non trivial task, since agents may use different internal models and the decision about trust other agents is a crucial condition to the formation of agents' cooperation. In this paper we propose the use of an ontology to deal with this issue. We experiment this idea by enhancing the ART reputation model with semantic data obtained from this ontology. This data is used during interaction among heterogeneous agents when exchanging reputation values and may be used for agents that use different reputation models.},
  isbn = {978-81-904262-7-5}
}

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