Merging Operators on Stratified Belief Bases equipped with Argumentative Inference

MARCELO A. FALAPPA; ALEJANDRO J. GARCÍA; GUILLERMO R. SIMARI

JOURNAL OF APPLIED NON-CLASSICAL LOGICS

Taylor & Francis

Lugar: Londres; Año: 2023 vol. 33 p. 387 - 420

1166-3081

This work considers the formalization of the merging process of stratified belief bases, where beliefs are stored in different layers or strata. Their strata are ranked, following a total order, employing the value the agent using the belief base assigns to these beliefs. The agent uses an argumentation mechanism to reason from the belief base and obtain the final inferences. We present two ways of merging stratified belief bases: the first is defined by merging two strata without belief preservation, and the second by merging two strata with belief preservation. For these operators, as layers merge, it is possible that some information has to be deleted from the stratum to maintain consistency. The latter merge operator will be defined as performing their actions so that information removed from the stratum is preserved after the merging by moving it to a stratum containing information perceived as having a lower value and where those beliefs may trigger a new revision, possibly starting a cascading effect.