Recent work shows that the memory requirements of bestfirst heuristic search can be reduced substantially by using a divide-and-conquer method of solution reconstruction. We show...
Motivational attitudes play an important role in investigations into intelligent agents. One of the key problems of representing and reasoning about motivational attitudes is whic...
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...
There are numerous applications such as air traffic management, cellular phone location tracking, and vehicle protection systems where there is a critical need to reason about mo...
The computational grounding problem – the gap between the mental models of an agent and its computational model – is a well known problem within the agent research community. ...
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...
When mining frequent Datalog queries, many queries will be equivalent in the light of an implicit or explicit background knowledge. To alleviate the problem, we introduce various t...
This paper is about decision making based on real-world descriptions of a domain. There are many domains where differentpeoplehavedescribedvariouspartsoftheworldatdifferent f abst...