Modeling knowledge dynamics in multi-agent systems based on informants

LUCIANO H. TAMARGO; ALEJANDRO J. GARCÍA; MARCELO A. FALAPPA; GUILLERMO R. SIMARI

KNOWLEDGE ENGINEERING REVIEW

CAMBRIDGE UNIV PRESS

Lugar: Cambridge; Año: 2012 vol. 27 p. 87 - 114

0269-8889

In this paper we model knowledge dynamics in agents´ belief bases in a collaborative multi-agent system. Four change operators are introduced: expansion, contraction, prioritized revision, and non-prioritized revision. For all of them, both constructive definitions and an axiomatic characterization by representation theorems are given. We formally justify minimal change, consistency maintenance, and non-prioritization principles. These operators are based on an epistemic model for multi-source belief revision in which a rational way to weigh the beliefs using a credibility order among agents is developed. The defined operators can be seen as skills added to the agents improving the collective reasoning of a multi-agent system.