Resiliency in dynamic leader–follower multiagent systems

Probabilistic reasoning in dynamic multiagent systems

Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic reasoning in dynamic domains under the same paradigm involves several issues. This paper proposes an approach to address these issues. Intuitively, observation on current state plays a more important role in the reason...

Learning and coordination in dynamic multiagent systems

Multiagent Only Knowing in Dynamic Systems

The idea of “only knowing” a collection of sentences, as proposed by Levesque, has been previously shown to be very useful in characterizing knowledge-based agents: in terms of a specification, a precise and perspicuous account of the beliefs and non-beliefs is obtained in a monotonic setting. Levesque’s logic is based on a first-order modal language with quantifying-in, thus allowing for de re...

Normative Multiagent Systems: The Dynamic Generalization

Social norms are powerful formalism in coordinating autonomous agents’ behaviour to achieve certain objectives. In this paper, we propose a dynamic normative system to enable the reasoning of the changes of norms under different circumstances, which cannot be done in the existing static normative systems. We study two important problems (norm synthesis and norm recognition) related to the auton...

Normative Multiagent Systems: A Dynamic Generalization

Social norms are powerful formalism in coordinating autonomous agents’ behaviour to achieve certain objectives. In this paper, we propose a dynamic normative system to enable the reasoning of the changes of norms under di↵erent circumstances, which cannot be done in the existing static normative systems. We study two important problems (norm synthesis and norm recognition) related to the autono...