In this paper we present CAT-CBR a component-based platform for developing CBR systems. CAT-CBR uses UPML (Universal Problemsolving Methods Language) for specifying CBR components. A collection of CBR components for retrieval of propositional cases is presented in detail. The CAT-CBR platform guides the engineer using a case-based recommendations system to develop a configuration of components ...

Industrial diagnosis is a domain where problems are recurrent and therefore previous documented solution can be successfully reused. Different methodologies may be implemented for a given diagnosis domain, one of the appropriate, appears to be Case-Based Reasoning (CBR). A CBR system is a combination of processes and knowledge called “knowledge containers“, that allows to preserve and to exploi...

Case-based Reasoning (CBR) is an Artificial Intelligence (AI) paradigm that attempts to solve new problems based on its past experiences of solving similar problems. Due to the intrinsic similarity of CBR with human reasoning process, it is used for automated problem-solving. The effectiveness of CBR can be enhanced by combining it with other AI techniques. One such approach is the inclusion of...

rent work in case-based reasoning (CBR) integrations. There has been a recent upsurge in the integration of CBR with other reasoning modalities and computing paradigms, especially rule-based reasoning (RBR) and constraint-satisfaction problem (CSP) solving. CBR integrations with modelbased reasoning (MBR), genetic algorithms, and information retrieval are also discussed. This article characteri...

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...