In his keynote speech, B. Chandrasekaran (The Ohio State University) argued that the debate about the right approach to AI could be clarified by removing many confusing notions with regard to what made something a representation. In one case, content is more important than form, whereas in the other, the reverse is true. He pointed out that proper understanding of Alan Newell’s knowledge level ...

This study examined the pedagogic practices of primary teachers in Ghana. The major goal was to identify innovative pedagogic practices, as well as to understand why the transmission practices continue to prevail in a majority of Ghanaian primary classrooms. Using a qualitative approach, the study tried to probe deeply into how and why teachers in Ghana engage with their practices, at the same ...

Studying the energy level structure of di€erent molecules by means of spectroscopy is one of the ®elds in physics and chemistry. In this paper, we describe a knowledge-based system, molecular spectroscopic assignment assistant (MOSAA), which can assist researchers in the assignment of the far-infrared and infrared absorption peaks of the molecules in question by using the spectral information p...

Several methods have been proposed to reconstruct houses from aerial images, most of them using rather specific models. These methods can not be applied when dealing with european-style houses and when a high level of detail is required. It is necessary to include additional domain specific knowledge in order to increase robustness and speed up the extraction process. We present a system that w...

One of the major issues examined in the quantitative ecology is the spatial distribution pattern of plant species. Knowledge of the spatial distribution patterns is essential to measure the level of uniformity in the surrounding environment, plant reproduction, and distribution of the seedlings, plant behavioral patterns, coexistence, allelopathic relations, and competition. Therefore, the aim ...

Report on the workshop on Knowledge Level Models of Machine Learning that was organized in the context of the second series of MLNet familiariza-1 Topic Description The aim of this workshop was to discuss knowledge level modeling applied to machine learning systems and algorithms. An important distinction in current expert systems research is the one between knowledge level and symbol level New...

introduction: knowledge management is one of the most important implements for organization's success in data age and competition situations. nowadays, the notability (importance) of subject is to the extent that some of the organizations measure their available knowledge and reflect these measurements in reports as organization's mental investment and as an index for organization's classificat...