This paper challenges the prevailing pessimism about the scalability of partial order planning (POP) algorithms by presenting several novel heuristic control techniques that make ...
The HITS and the PageRank algorithms are eigenvector methods for identifying "authoritative" or "influential" articles, given hyperlink or citation information...
One of the more controversial recent planning algorithms is the SHOP algorithm, an HTN planning algorithm that plans for tasks in the same order that they are to be executed. SHOP...
This paper presents a real-time auditory and visual tracking of multiple objects for humanoid under real-world environments. Real-time processing is crucial for sensorimotor tasks...
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
This paper describes SiN, a novel case-based planning algorithm that combines conversational case retrieval with generative planning. SiN is provably correct, and can generate pla...
Certain planning systems that deal with quantitative time constraints have used an underlying Simple Temporal Problem solver to ensure temporal consistency of plans. However, many...
Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a ten...
In the quest for expressive description logics for real-world applications, a powerful combination of constructs has so far eluded practical decision procedures: intersection and ...