We describe an agent architecture that integrates emotions, drives, and behaviors, and that focuses on modeling some of the aspects of emotions as fundamental components within th...
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...
This paper discusses the differences between controlled medical vocabularies that are designed as external artifacts and the mental concepts that are inside users' heads and ...
Efficient reachability query answering in large directed graphs has been intensively investigated because of its fundamental importance in many application fields such as XML data ...
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...