We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
In this paper, we analyse a concept of total knowledge based on the idea that an agent's total knowledge is the strongest proposition the agent knows. We propose semantics fo...
Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In our previous work [5] the bac...
Event-driven Process Chains (EPCs) have been helped to achieve an important role in business process modeling by the commercial success of SAP and ARIS. Both users and IT experts m...