INVESTIGADORES
TAMARGO Luciano Hector
artículos
Título:
Multi-Source Multiple Change on Belief Bases
Autor/es:
LUCIANO H. TAMARGO; CRISTHIAN A. D. DEAGUSTINI; ALEJANDRO J. GARCÍA; MARCELO A. FALAPPA; GUILLERMO R. SIMARI
Revista:
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Editorial:
ELSEVIER SCIENCE INC
Referencias:
Lugar: Amsterdam; Año: 2019 vol. 110 p. 145 - 163
ISSN:
0888-613X
Resumen:
We will propose an approach to multi-source multiple belief revision where the trust or credibility assigned to informant agents is considered in the revisionprocess; 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.