In this paper, we investigate knowledge reasoning within a simple framework called knowledge structure. We use variable forgetting as a basic operation for one agent to reason abo...
We consider complex scheduling problems that can be captured as optimization under hard and soft constraints. The objective of such an optimization problem is to satisfy as many h...
Until now, AI argumentation-based systems have been mainly developed for handling inconsistency. In that explanation-oriented perspective, only one type of argument has been consi...
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
conflicts between goals and plans in Dung’s abstract argumentation framework. Argumentation theory has traditionally been used to deal with conflicts between defaults and beli...