With the increasing interest in distributed and collaborative multi-agent applications, conflict resolution in largescale systems becomes an important problem. Our approach
to collaborative conflict resolution is based on argumentation. To understand the feasibility and the scope of the approach, we first implemented the process in a system called
CONSA and applied it to two complex, dynamic domains.
We then modeled this approach in distributed constraint satisfaction problems (DCSP) to investigate the effect of different conflict resolution configurations, such as the degree of
shared responsibility and unshared information, and their
effects in large-scale conflict resolution via argumentation.
Our results suggest some interesting correlations between
these configurations and the performance of conflict resolution.