Over the past decade, case-based reasoning (CBR) has emerged as a major research area within the artificial intelligence research field due to both its widespread usage by humans and its appeal as a methodology for building intelligent systems. Conventional CBR systems have been largely designed as automated problem-solvers for producing a solution to a given problem by adapting the solution to...

Case Based Reasoning (CBR) is a problem-solving paradigm that uses knowledge of relevant past experiences (cases) to interpret or solve new problems. An evolvement to this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case specific knowledge with domain one in order to improve the effectiveness of the CBR process. This effectiveness is further impr...

Case-Based Reasoning (CBR) is a relatively new and promising technique of artificial intelligence. Using CBR, every new problem is solved by adapting the solutions of the previously successfully solved similar problems. The intention of our research is to develop a robust and general framework which supports generation of wide-range of CBR systems using different approaches. Presented framework...

Rule based reasoning (RBR) and case based reasoning (CBR) have emerged as two impor­ tant and complementary reasoning methodolo­ gies in artificial intelligence (AI). For problem solving in complex, real world situations, it is useful to integrate RBR and CBR. This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules. The ...

Recently, Case-Based Reasoning (CBR) has proved its success as reasoning and learning approach. However, there are some knowledge engineering complexity appears in developing the CBR systems. This paper introduces a new CBR system that helps to reduce the knowledge acquisition effort required for building typical CBR systems. The proposed system incorporates the learning techniques into the CBR...

subgrade soil stabilization is one of the primary and major processes in the construction of any highway; also environmental authorities are concerned about the growing amount of polyethylene (pet) bottles produced by household sectors. this research in order to study effect of adding recycled polyester fiber on soil engineering properties, especially shear strength and california bearing ratio...

Knowledge-based systems (KBS) and intelligent computing systems have been used in the medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoning (MBR) whereas intelligent computing method (ICM) encompasses genetic algorithm (GA), artificial neural network (ANN), fuzzy logic (FL) and others. The combination of m...

Community-Based Research (CBR) is rapidly gaining recognitions as an important tool in addressing complex environmental, health and social problems. However, little is known about the Canadian CBR context. A web-based survey including 25 questions was circulated on list-servs and via targeted e-mails to investigate the status of CBR in Canada. Univariate and bivariate statistical analyses were ...

We propose that analogical reasoning and case based reasoning (CBR) tasks can be usefully characterised as a continuum reflecting the remoteness of the remindings involved. Remindings in CBR are generally between semantically close cases while analogical reasoning depends on more abstract remindings. Rather than there being a strict demarcation between CBR and analogical reasoning on these grou...