In a multi-agent system, an agents belief base can be modified when that agent receives information from other agents. Here, we study the case when these belief base changes occur in a collaborative multi-agent system environment, and the agents in the system exhibit different degrees of credibility; the former assumption guarantees that the agents are truthful and they help each other, and the latter introduces the opportunity of choosing the best possible source of information Belief Revision in Multi-Agent Systems has been analyzed in where the distinction between Multi-Agent Belief Revision (MABR) and Individual Belief Revision (IBR) is explained on the one hand, MABR studies the overall belief revision be-havior of agent teams in which...
In this work we extend the communication abilities of agents in multi-agent systems by enabling them...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
In this work we analyze the problem of knowledge representation in a collaborative multi-agent syste...
In this paper, we model knowledge dynamics in agents' belief bases in a collaborative multi-agent sy...
This paper introduces an approach for sharing beliefs in collaborative multi-agent application domai...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
Abstract. The ability to respond sensibly to changing and conflicting beliefs is an integral part of...
We consider the problem of belief revision in a multi-agent system with information stemming from di...
In this paper, a framework of a belief revision agent in a multi-agent environment is presented. In ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
In this paper we propose an approach to multi-source belief revision where the trust or credibility ...
We propose a distributed architecture for belief revision-integration, where each element is conceiv...
This report documents the programme and outcomes of Dagstuhl Seminar 13231 "Belief Change and Argume...
In this work we extend the communication abilities of agents in multi-agent systems by enabling them...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
In this work we analyze the problem of knowledge representation in a collaborative multi-agent syste...
In this paper, we model knowledge dynamics in agents' belief bases in a collaborative multi-agent sy...
This paper introduces an approach for sharing beliefs in collaborative multi-agent application domai...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
In modeling the knowledge processing structure of an Agent in a Multi-Agent world it becomes necessa...
Abstract. The ability to respond sensibly to changing and conflicting beliefs is an integral part of...
We consider the problem of belief revision in a multi-agent system with information stemming from di...
In this paper, a framework of a belief revision agent in a multi-agent environment is presented. In ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
In this paper we propose an approach to multi-source belief revision where the trust or credibility ...
We propose a distributed architecture for belief revision-integration, where each element is conceiv...
This report documents the programme and outcomes of Dagstuhl Seminar 13231 "Belief Change and Argume...
In this work we extend the communication abilities of agents in multi-agent systems by enabling them...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...