Multi-source multiple change on belief bases

We will propose an approach to multi-source multiple belief revision where the trust or credibility assigned to informant agents is considered in the revision process; the credibility associated to each informant is maintained as a strict partial order among informant agents. In the context of a collaborative Multi-Agent System, our goal is to formalize a change operator for an agent which, upon the arrival of a set of new information provided by its peers, will be capable of revising its belief base considering the information sources to decide which information prevails. For the operator, we give a constructive definition and an axiomatic characterization, connecting them through the corresponding representation theorem. Pragmatically, the operator introduced here can be conceptualized as a reasoning skill that helps improve the collective performance of agents working in a multi-agent system. We will describe a real-world example that will motivate the practical importance of having this ability when implementing applications. (C) 2019 Elsevier Inc. All rights reserved.