%0 Conference Paper
%B IJCAI - 24th International Joint Conference on Artificial Intelligence
%D 2015
%T Spectrum-Based Fault Localisation for Multi-Agent Systems
%A Rui Abreu
%A Passos, Lúcio S
%A Rossetti, Rosaldo JF
%C Buenos Aires
%X <p>Diagnosing unwanted behaviour in Multi-Agent Systems (MASs) is crucial to ascertain agents’ correct operation. However, generation of MAS models is both error-prone and time intense, as it exponentially increases with the number of agents and their interactions. In this paper, we propose a light-weight, automatic debugging-based technique, coined ESFL-MAS, which shortens the diagnostic process, while only relying on minimal information about the system. ESFL-MAS uses a heuristic that quantifies the suspiciousness of an agent to be faulty; therefore, different heuristics may have different impact on the diagnostic quality. Our experimental evaluation shows that 10 out of 42 heuristics yield the best diagnostic accuracy (96.26% on average).</p>
%8 July
%> https://haslab.uminho.pt/sites/default/files/ruimaranhao/files/ijcai15-164.pdf