Spatial or temporal reasoning is an important task for many applications in Artificial Intelligence, such as space scheduling, navigation of robots, etc. Several qualitative appro...
The representation of narratives of actions and observations is a current issue in Knowledge Representation, where traditional plan-oriented treatments of action seem to fall shor...
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....
In this paper, we consider quantitative temporal or spatial constraint networks whose constraints evolve over time in an ultimately periodic fashion. These constraint networks are...
Agents collaborating on a set of tasks subject to temporal constraints must coordinate their activities to ensure that all of the temporal constraints are ultimately satisfied. S...