2017/07/27 by Weiwei Chen, Ulle Endriss
Computer Science · #cs.AI
paper · pdf · doi:10.4204/eptcs.251.9
published as EPTCS 251, 2017, pp. 118-133 · In Proceedings TARK 2017, arXiv:1707.08250
arxiv created 2017/07/27 · arxiv updated 2017/07/28
An abstract argumentation framework can be used to model the argumentative stance of an agent at a high level of abstraction, by indicating for every pair of arguments that is being considered in a debate whether the first attacks the second. When modelling a group of agents engaged in a debate, we may wish to aggregate their individual argumentation frameworks to obtain a single such framework that reflects the consensus of the group. Even when agents disagree on many details, there may well be high-level agreement on important semantic properties, such as the acceptability of a given argument. Using techniques from social choice theory, we analyse under what circumstances such semantic properties agreed upon by the individual agents can be preserved under aggregation.