By Charles P. Bloom (auth.), Claude Frasson, Gilles Gauthier, Alan Lesgold (eds.)
This ebook offers the refereed court cases of the 3rd overseas convention on clever Tutoring platforms, ITS '96, held in Montreal, Canada, in June 1996.
The booklet comprises sixty nine revised papers chosen from a complete of 128 submissions; additionally integrated are six invited papers from recognized audio system. All in all, the ebook displays the cutting-edge within the zone. specifically the next issues are lined: advising platforms, ITS architectures, cognitive versions, layout concerns, empirical reports, formal types, studying environments, real-world functions, software program instruments for tutoring, scholar modelling, educating and studying techniques, and multimedia and WWW.
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Additional info for Intelligent Tutoring Systems: Third International Conference, ITS '96 Montréal, Canada, June 12–14, 1996 Proceedings
Example text
2 Well D e f i n e d P r o o f O b l i g a t i o n s We give in this section the different proof obligations and their well-definedness lemmas. We distinguish machines, refinements and implementations because they do not have the same validation lemmas but we will show that, because a formula and its negation have the same well-definedness, the delta lemmas are quite similar for the three abstract machine types. We call V L ( M ) , the validation lemmas of the abstract machine M. D e f i n i t i o n 6.
T h e m o r e general expectations arise when one estimates, in the initial state of a probabilistic p r o g r a m , w h a t the w o r t h of its final state will be. T h a t e s t i m a t e , the 'expected w o r t h ' of the final state, is o b t a i n e d by s u m m i n g over all final states the w o r t h of the final state multiplied by the probability the p r o g r a m 'will go there' f r o m the initial state. Naturally the 'will go there' probabilities depend on ' f r o m where', and so t h a t expected w o r t h is a function of the initial state.
At the architectural design stage, major system components and their inter-relationships must be identified. So composition primitives must favour the independence of coding activity. This duality is illustrated by the open-closed principle Mey88. The open view means building larger components by extension.