While hypothetical reasoning is a useful knowledge system framework that is applicable to many practical problems, its crucial problem is its slow inference speed. The paper presents a speedup method for hypothetical reasoning systems that uses an experience-based learning mechanism which can learn knowledge from inference experiences to improve the inference speed in subsequent inference proce...

This paper describes a robot manipulator system currently under development which learns assembling technique from observation of skilled worker’s demonstrations. The system is an application of EBL (Explanation-Based Learning) to the robot manufacturing domain. The system improves the operating capability of the robot manipulator through observing, analyzing the skilled worker’s assembling ope...

purpose: the present study aims at comparing the impact of two teaching/learning approaches-self- directed/paced learning and lecture/demonstration-based instruction-on mastering psychomotor skills among nursing students. material & method: thirty nursing students were selected for the study. they filled out questionnaires indicating the demographic factor, and mean exam scores achieved in the ...

background: according to the available evidence, problem-based learning (pbl) is one of the most successful methods in achieving higher educational objectives. in this method, the discussion about the subjects that should be taught to the students is based on a real clinical case. various advantages and disadvantages of this method have been addressed in different studies, but the students' att...

Explanation-based learning (EBL) is a powerful method for category formation. However, EBL systems are only effective if they start with good explanations. The problem of evaluating candidate explanations has received little attention: Current research usually assumes that a single explanation will be available for any situation, and that this explanation will be appropriate. In the real world ...

Instilling confidence in the abilities of machine learning systems in end-users is seen as critical to their success in real world problems. One way in which this can be achieved is by providing users with interpretable explanations of the system’s predictions. CBR systems have long been understood to have an inherent transparency that has particular advantages for explanations compared with ot...

We present preliminary results of the effect of Expo-Based Learning (EBL) applied to a course on information visualization. We define EBL as project-based learning (PBL) augmented with constructively-aligned large public demos [RTP14]. In this paper, we analyze the results of challenging and grading enrolled students to compete and present their projects publicly at an open student competition ...

Representing domain knowledge is crucial for any task. There has been a wide range of techniques developed to represent this knowledge, from older logic based approaches to the more recent deep learning based techniques (i.e. embeddings). In this paper, we discuss some of these methods, focusing on the representational expressiveness tradeoffs that are often made. In particular, we focus on the...

OBJECTIVES To explore opinions of undergraduate medical students regarding learning outcomes of the instructional strategy of Problem Based Learning (PBL). In addition their views were sought about the role of tutors and qualities of effective tutors. METHOD This was a cross-sectional, questionnaire based study which was conducted in two colleges of Medicine, Central region, Saudi Arabia duri...