Chapter 7: Credibility-based selective revision by deductive argumentation in multi-agent systems

LUCIANO H. TAMARGO; MATTHIAS THIMM; PATRICK KRÜMPELMANN; ALEJANDRO J. GARCÍA; MARCELO A. FALAPPA; GUILLERMO R. SIMARI; GABRIELE KERN-ISBERNER

Trends in Belief Revision and Argumentation Dynamics

College Publications

Lugar: London; Año: 2013; p. 155 - 182

In this chapter we describe recent approaches in which argumentation is applied to the process of revising an agent?s beliefs. We first present an approach to selective revision with a preprocessing step based on deductive argumentation. In this approach,a non-prioritized revision operator is proposed that only accepts new information if the information is justifiable with respect to an argumentative evaluation. We integrate the developed argumentative approach into selective revision in a multi-agent scenario with information stemming from different agents with different degrees of credibility. In this context an agent has to choose carefully which information is to be accepted for revision in order to avoid believing faulty or untrustworthy information. We extend our approach of selective revision by deductive argumentation for this setting by including credibility information in the argumentative process. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. The evaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator.