Knowledge refinement tools rely on a representative set of training examples to identify and repair faults in a knowledge based system (KBS). In real environments it is often diffi...
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
We coiisider a situation where two parties, Alice and Bob, share a common secret string arid would like to mutually check their knowledge of that string. We describe a simple and e...
Understanding the structure of knowledge communities, and particularly the organization of "epistemic communities", or groups of agents sharing common knowledge concerns...
This paper is concerned with the question of how activity mediated by shared representations–notations that are manipulated by more than one person during a collaborative taskâ€...