基于IBIS的协商对话框架及共识评价方法

Deliberation Dialogue Framework Based on IBIS and Methods of Consensus Evaluation

协商对话是群体解决复杂问题的一种有效方法.在协商对话过程中,实时准确地对共识状态进行分析和评价有利于激活群体思维,促进群体思维收敛.提出一种基于IBIS的协商对话框架(DDF),引入辩论理论和不确定性推理方法计算方案共识值.先将IBIS模型扩展为针对问题提出方案和对方案进行论证的多层辩论结构,并用对话树表示方案的论证过程,将整个协商对话过程表示为由对话树组成的对话森林.然后对争议前提不确定性和争议论证强度进行量化表示,并将对话森林映射成模糊Petri网,称为协商对话模糊Petri网(FPND).再利用Petri网的并行计算能力,通过矩阵迭代运算求出各方案共识值.最后用一个实例验证该方法的有效性和合理性.

Deliberation is an effective method to solve complex problems.In the process of deliberation,real-time analysis and evaluation of group consensus will help to activate group thinking and promote the convergence of group thinking.In this paper,a deliberation dialogue frameworks(DDF) based on IBIS is proposed,in which argumentation and uncertainty reasoning are introduced to calculate the certainty-factors of propositions.Firstly,the basic IBIS model is extended to multi-level argumentation structure with propositions about issues not only be put forward but also be argued.The process of argumentation about proposition is described as dialogue tree,and the all the deliberation is described as dialogue forest.Then,the uncertain of argument’s premise and the argument’s strength were quantified with certainty-factor,and the dialogue forest is mapped into fuzzy petri net,called FPND.Using the parallel computing ability of petri nets,the final certainty-factors of proposition are calculated by matrix iterative operation.Finally,an example is used to verify the validity and rationality of the proposed method.