Decision making and quality-of-information

• Author(s): Novais, Paulo ; Salazar, Maria ; Ribeiro, Jorge Manuel Ferreira Barbosa ; Analide, César ; Neves, José
• Date: 2010
• Persistent ID: http://hdl.handle.net/1822/19017
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Artificial intelligence; Decision making; Quality of information
• Document Type: Conference Object
• Language: English

Description

Springer - Series Advances in Intelligent and Soft Computing, vol. 73 In Group Decision Making based on argumentation, decisions are made considering the diverse points of view of the different partakers in order to decide which course of action a group should follow. However, knowledge and belief are normally incomplete, contradictory, or error sensitive, being desirable to use formal tools to deal with the problems that arise from the use of uncertain and even not precise information. On the other hand, qualitative models and qualitative reasoning have been around in Artificial Intelligence research for some time, in particular due the growing need to offer support in decision-making processes, a problem that in this work will be addressed in terms of an extension to the logic programming language and based on an evaluation of the Quality-of-Information (QoI) that stems out from those extended logic programs or theories. We present a computational model to address the problem of decision making, in terms of a multitude of scenarios, also defined as logic programs or theories, where the more appropriate ones stand for the higher QoIs values.