“…We believe that they can be enriched mutually, as can be seen in some recent research (Amgoud et al 2007;Fox et al 2007;Ouerdane et al 2010;Labreuche 2011;Van der Weide 2011;Muller and Hunter 2012;Longo et al 2012;Labreuche et al 2012;Kaci and Labreuche 2014). However these works have mainly concentrated on explanations in automatic decision systems or on decisions in contexts not involving public participation or argumentation on the basis of unstructured texts.…”
In many countries, development projects that may have a substantial impact on the environment are submitted to a public evaluation process within which citizens use argumentation to express and justify their positions regarding a project. These justifications typically refer to various values. Subsequently, a public commission in charge of the evaluation process arrives at a conclusion. But how are the arguments of the various participants taken into account? How do values influence the commission's recommendation? In order to arrive to an understanding of a commission's decision process, we focus on the argumentative nature of the process and apply a methodology combining content analysis and a value-based argumentative framework. This methodology was illustrated using a case study of a hydroelectric project in Québec. First, we analysed a corpus of unstructured texts produced during public hearings and extracted the arguments and values of the participants. We then used a computational model to obtain the commission's possible hypothetical decisions which we compared with the commission's actual conclusion. Furthermore, we identified some preference elements of the commission, and we partially explained their attitude towards conflicting and incoherent arguments. Finally, based on our experience, we formulated some conclusions regarding the ability and promise of argumentative methods to support decision making in a participatory context.
“…We believe that they can be enriched mutually, as can be seen in some recent research (Amgoud et al 2007;Fox et al 2007;Ouerdane et al 2010;Labreuche 2011;Van der Weide 2011;Muller and Hunter 2012;Longo et al 2012;Labreuche et al 2012;Kaci and Labreuche 2014). However these works have mainly concentrated on explanations in automatic decision systems or on decisions in contexts not involving public participation or argumentation on the basis of unstructured texts.…”
In many countries, development projects that may have a substantial impact on the environment are submitted to a public evaluation process within which citizens use argumentation to express and justify their positions regarding a project. These justifications typically refer to various values. Subsequently, a public commission in charge of the evaluation process arrives at a conclusion. But how are the arguments of the various participants taken into account? How do values influence the commission's recommendation? In order to arrive to an understanding of a commission's decision process, we focus on the argumentative nature of the process and apply a methodology combining content analysis and a value-based argumentative framework. This methodology was illustrated using a case study of a hydroelectric project in Québec. First, we analysed a corpus of unstructured texts produced during public hearings and extracted the arguments and values of the participants. We then used a computational model to obtain the commission's possible hypothetical decisions which we compared with the commission's actual conclusion. Furthermore, we identified some preference elements of the commission, and we partially explained their attitude towards conflicting and incoherent arguments. Finally, based on our experience, we formulated some conclusions regarding the ability and promise of argumentative methods to support decision making in a participatory context.
“…In literature, we find many proposed works that deal with the topic of decision-making through the use of agents, argumentation models, heuristics, etc. [11,12]. However, the type of the decision and how it is oriented in those works is completely different from the decision-making context where organizations make use of UbiGDSS.…”
Abstract. Supporting group decision-making is a complex process, especially when decision-makers have no opportunity to gather at the same place and at the same time. Besides that, finding solutions may be difficult in case representing agents are not able to understand the process and support the decision-maker accordingly. Here we propose a model and an algorithm that will allow the agent to analyse tendencies. This way we intend that agents can achieve decisions with more quality and with higher levels of consensus. Our model allows the agent to redefine his objectives to maximize both his and group satisfaction. Our model proved that agents that use it will obtain higher average levels of consensus and satisfaction. Besides that, agents using this model will obtain those higher levels of consensus and satisfaction in most of the times compared to agents that do not use it.
“…In literature, we find many proposed works that deal with the topic of decision-making using agents, argumentation models, heuristics, etc. [27,24,10,18]. However, the type of the decision and how it is oriented in those works is completely different from the decision-making context where organizations make use of UbiGDSS.…”
Abstract. Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions more easily. We tested our model in three simulation environments with different complexity levels. Our model proved that agents that use it will obtain higher average consensus and satisfaction levels. Besides that, agents using this model will obtain those higher consensus and satisfaction levels in most of the times compared to agents that do not use it.
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