Constraint-based techniques are frequently used in solving real-life scheduling problems thanks to natural modeling capabilities and strong constraint propagation techniques encod...
In knowledge engineering research the refinement of manually developed intelligent systems is still one of the key issues. Since scoring rules are an intuitive and easy to impleme...
A process is described for selecting the subset of internal models needed to perform situation assessment and organizing them in a representation we designate a mental space. A co...
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
Two measures of lexical cohesion were developed and applied to a corpus of human-computer tutoring dialogs. For both measures, the amount of cohesion in the tutoring dialog was fo...