We study proof systems for reasoning about logical consequences and refinement of structured specifications, based on similar systems proposed earlier in the literature [ST 88, Wi...
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
The paper introduces modeling spaces in order to help software practitioner to understand modeling. Usually software engineers often think of a specific kind of models
One important aspect in directing cognitive robots or agents is to formally specify what is expected of them. This is often referred to as goal specification. For agents whose act...