Design is an activity in which the role of experience plays a larger part in the generation of alternative designs than theoretical or formal knowledge. This has lead to increasing interest in CBR as a way of assisting and/or automating portions of the design process. However, there are major areas in the CBR paradigm that do not address the needs of practical CBR. Here CBR is presented as a fr...

Gene duplication and divergence has emerged as an important aspect of developmental evolution. The genomes of Caenorhabditis nematodes encode an ancient family of PUF RNA-binding proteins. Most have been implicated in germline development, and are often redundant with paralogs of the same sub-family. An exception is Cbr-puf-2 (one of three Caenorhabditis briggsae PUF-2 sub-family paralogs), whi...

The paper presents an empirical research whose goal is to study the interaction between a Case-Based Reasoning (CBR) system and users without knowledge of CBR. This interaction, that here is called CBR naïve interaction, can occur frequently in web-based CBR systems and consequently in CBR-based e-commerce systems. The research was led during the usability assessment of COOL-TOUR a web-based CB...

Case-based reasoning (CBR) is a paradigm for combining problem solving and learning that has become one of the most successful applied subfields of AI in recent years. Now that CBR has become a mature and established technology two necessities have become critical: the availability of tools to build CBR systems, and the accumulated practical experience of applying CBR techniques to real-world p...

This paper aims to present an experimental and numerical study on the effect of wetting-drying cycles and plasticity index on the California Bearing Ratio (CBR) of lime stabilized clayey soils. The numerical analysis was carried out based on finite element method for comparison between results of experimental and numerical studies. Three clays with different plasticity indices were mixed with v...

CBROnto is an ontology that incorporates common CaseBased Reasoning (CBR) terminology and serves as a domain-independent framework to design CBR applications. It is the core of COLIBRI, an environment to assist during the design of knowledge intensive CBR systems that combine cases with various knowledge types and reasoning methods. CBROnto captures knowledge about CBR tasks and methods, and ai...

Case-Based Reasoning (CBR) is a very popular methodology for developing knowledge-based systems [1]. Yet there are few toolkits available for building CBR systems. In this paper we present a framework called Fionn that is specifically designed for the development of CBR systems. Since Fionn was designed specifically for CBR it provides good support for some of the unique characteristics of CBR ...

Case-Based Reasoning (CBR) is a very popular methodology for developing knowledge-based systems [1]. Yet there are few toolkits available for building CBR systems. In this paper we present a framework called Fionn that is specifically designed for the development of CBR systems. Since Fionn was designed specifically for CBR it provides good support for some of the unique characteristics of CBR ...

empolis orenge 4.0, a component-based environment for knowledge management applications by empolis Knowledge Management, is a flexible and scalable Case-Based Reasoning shell for industrial applications, that also contains many components that provide functionality beyond the basic CBR paradigm. Further it can be extended easily by application-specific components, which makes it an ideal starti...

In this paper, a hybrid system is developed by evolving Case-Based Reasoning (CBR) with Genetic Algorithm (GA) for reverse sales forecasting of returning books. CBR systems have been successfully applied in several domains of artificial intelligence. However, in conventional CBR method each factor has the same weight which means each one has the same influence on the output data that does not r...