Agent interaction in realistic applications is subject to many forms of uncertainty - including information and network uncertainty, trust of and conflicts with other participants, lack of stability in a deal and risks about agreements and commitments. However, one of the most common forms of uncertainty occurs when a group has divergent beliefs about the interaction they are engaged in -- some agents believe an agreement has been reached, while others believe it has been rejected or that they are still bargaining. Such misunderstandings can arise because of loss of network performance, spurious connections, message loss or delays. Against this background, this paper develops synchronisation protocols for a group of agents to attain the sam...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
Within a distributed system, autonomous agents may find it necessary to cooperate in order to achiev...
In networks with heterogeneous and uncertain agents, fixed-gain control can lead to synchronization ...
Agent interaction in realistic applications is subject to many forms of uncertainty - including info...
In order to prevent misunderstandings within groups of interacting agents, it is necessary to ensure...
International audienceWe address the issue of belief revision in a multi-agent setting. We represent...
The ability to solve conflicting beliefs is crucial for multiagent systems where the information is ...
Abstract. In this paper, a distributed approach to belief revision is presented. It is conceived as ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
Abstract. The ability to respond sensibly to changing and conflicting beliefs is an integral part of...
We propose a distributed architecture for belief revision-integration, where each element is conceiv...
This paper focuses on the features of belief change in a multi-agent context where agents consider b...
International audienceThe aim of this paper is to propose a logical framework for reasoning about si...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
In this paper, a distributed approach to belief revision is presented. It is conceived as a collecti...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
Within a distributed system, autonomous agents may find it necessary to cooperate in order to achiev...
In networks with heterogeneous and uncertain agents, fixed-gain control can lead to synchronization ...
Agent interaction in realistic applications is subject to many forms of uncertainty - including info...
In order to prevent misunderstandings within groups of interacting agents, it is necessary to ensure...
International audienceWe address the issue of belief revision in a multi-agent setting. We represent...
The ability to solve conflicting beliefs is crucial for multiagent systems where the information is ...
Abstract. In this paper, a distributed approach to belief revision is presented. It is conceived as ...
Introduction The body of beliefs (facts and rules) accumulated in the course of time by a knowledge...
Abstract. The ability to respond sensibly to changing and conflicting beliefs is an integral part of...
We propose a distributed architecture for belief revision-integration, where each element is conceiv...
This paper focuses on the features of belief change in a multi-agent context where agents consider b...
International audienceThe aim of this paper is to propose a logical framework for reasoning about si...
Multi-agent architectures are well suited for complex inherently distributed problem solving domains...
In this paper, a distributed approach to belief revision is presented. It is conceived as a collecti...
The body of beliefs (facts and rules) accumulated in the course of time by a knowledge-based system ...
Within a distributed system, autonomous agents may find it necessary to cooperate in order to achiev...
In networks with heterogeneous and uncertain agents, fixed-gain control can lead to synchronization ...