By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
This paper presents a simple protocol that provides application processes with an approximate real-time notion. This time notion is very versatile. At one extreme, it behaves at l...
Traditional spatial information systems hold only a single state of the ‘real world’. However, geographic phenomena have not only static but dynamic characteristics. The work d...
Intention recognition has significant applications in ambient intelligence, for example in assisted living and care of the elderly, in games and in intrusion and other crime detec...
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...