Conciliation through Iterated Belief Merging
Conciliation through Iterated Belief Merging
复制标题
通过迭代信念合并进行调解
DOI：
10.1093/logcom/exm047
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
P. Marquis
中科院分区：
文献类型：
--
作者：
Olivier Gauwin;S. Konieczny;P. Marquis
介绍并研究了两类基于信念轮廓迭代合并-修改变化函数的智能体调解过程。来自第一个家庭的过程是怀疑的，因为在任何修改步骤中，每个代理都认为她当前的信念比团队当前的信念更重要，而来自另一个家庭的过程是轻信的。指出了几种合并运营商调解过程的主要特点；特别地，研究了迭代合并算子的平稳性问题、一致性的存在性以及诱导迭代合并算子的性质。
Two families of conciliation processes for intelligent agents based on an iterated merge-then-revise change function for belief profiles are introduced and studied. The processes from the first family are sceptical in the sense that at any revision step, each agent considers that her current beliefs are more important than the current beliefs of the group, while the processes from the other family are credulous. Some key features of such conciliation processes are pointed out for several merging operators; especially, the stationarity issue, the existence of consensus and the properties of the induced iterated merging operators are investigated.