Case-based reasoning (CBR) systems define knowledge in terms of a memory or library of past cases and a retrieval mechanism that revolves around retrieving data relevant to a goal query. Additionally, such systems employ an adaptation component that transforms the retrieved data into a solution to the problem expressed by the original query. The combination of goal query and the subsequent solu...

This document presents some researches centered on the issue of the design of a case-based reasoning (CBR) system, particularly of the steps of retrieval of a source case similar to the target problem and of adaptation of this case to solve this problem. First, an approach of retrieval based on the hierarchical organization of cases is described. It is composed of three procedures, the strong, ...

The literature on validation and verification of knowledge-based systems contains a catalogue of anomalies for knowledge-based systems, such as redundant, contradictory or deficient knowledge. Detecting such anomalies is a method for verifying knowledge-based systems. Unfortunately, the traditional formulation of the anomalies in the literature is very specific to a rule-based knowledge represe...

Although many approaches to knowledge-based configuration have been developed, the generation of optimal configurations is still an open issue. This paper describes work that addresses this problem in a general way by exploiting an analogy between configuration and diagnosis. Based on a problem representation consisting of a set of ranked goals and a catalog of components, which can contribute ...

Introduction Knowledge elicitation consists of a set of techniques and methods that attempt to elicit the knowledge of a domain expert1, typically through some form of direct interaction with the expert. Knowledge elicitation is a sub-process of knowledge acquisition (which deals with the acquisition or capture of knowledge from any source), and knowledge acquisition is, in turn, a sub-process ...

this study proposes a modified version of cultural algorithms (cas) which benefits from rule-based system for influence function. this rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. this is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. this rule ...

team-based learning is designed to provide students with both conceptual and procedural knowledge, aiming to enhance active learning and critical thinking. in the present study, team-based learning and lecture methods in teaching the “hospital organization and management” course among hospital management students were compared. this quasi-experimental study was conducted on 25 undergraduate stu...

background and purpose: the characteristics of residents of infectious diseases who should practice and teach evidence based medicine (ebm) during their clinical work – and their attitudes toward it – are poorly known. we assessed the knowledge, attitude and practice of infectious diseases residents regarding evidence based medicine and their related educational needs. methods: this cross-secti...