Case-based reasoning (CBR) is concerned with solving new problems by adapting solutions that worked for similar problems in the past. Years of experience in building and fielding CBR systems have shown that the “case approach” is not free from problems. It has been realized that the knowledge engineering effort required for designing many real-world casebases can be prohibitively high. Based on...

In concept learning, inductive techniques perform a global approximation to the target concept. Instead, lazy learning techniques use local approximations to form an implicit global approximation of the target concept. In this paper we present C-LID, a lazy learning technique that uses LID for generating local approximations to the target concept. LID generates local approximations in the form ...

Goal-driven autonomy (GDA) is a reflective model of goal reasoning that controls the focus of an agent’s planning activities by dynamically resolving unexpected discrepancies in the world state, which frequently arise when solving tasks in complex environments. GDA agents have performed well on such tasks by integrating methods for discrepancy recognition, explanation, goal formulation, and goa...

background: according to the available evidence and experiments, problem-based learning is one of the most successful methods to achieve higher educational objectives. in this method, the discussion about the medical sybjects to be learned by the students is based on a real clinical case and participation of the students. various advantages and disadvantages of this method have been addressed i...

This paper also appears in the Proceedings of the Tenth International Conference on Artificial Intelligence. Milan. Italy. August 1987. In recent years knowledge-based techniques like explanation-based learning. qualitative reasoning and case-based reasoning have been gaining considerable popularity in Al. Such knowledge-based methods face two difficult problems: (1) the performance of the syst...

The wide development of mobile applications provides a considerable amount of data of all types (images, texts, sounds, videos, etc.). Thus, two main issues have to be considered: assist users in finding information and reduce search and navigation time. In this sense, context-based recommender systems (CBRS) propose the user the adequate information depending on her/his situation. Our work con...

to present a multiple-instructor, active-learning strategy in the undergraduate medical curriculum. this educational research is a descriptive one. shared teaching sessions, were designed for undergraduate medical students in six organ-system based courses. sessions that involved in-class discussions of integrated clinical cases were designed implemented and moderated by at least 3 faculties (c...