Learn More
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(More)
This paper introduces an approach for sharing beliefs in collaborative multi-agent application domains where some agents can be more credible than others. In this context, we propose a formalization where every agent has its own partial order among its peers representing the credibility the agent assigns to its informants; each agent will also have a belief(More)
We consider the problem of belief revision in a multi-agent system with information stemming from different agents with different degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process(More)
In this paper we define a trust-based argumentative reasoning formalism where the source of the received information is used to decide the warranted conclusions. In the proposed formalism, the agent's tentative conclusions are supported by arguments, and these conclusions can in turn be attacked by other arguments, referred to as counter-arguments. The(More)
  • 1