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Case-Based Reasoning (CBR) is suited to problem solving in domains where there are recurring problems. This paper describes the development of a CBR system for use in such a domain, the Technical Support department of an aircraft manufacturing company. The system uses three types of indexing: knowledge-guided induction, inductive indexing and nearest neighbour matching. The resultant system integrates...
One of the most challenging goals for the software development community is the definition and assessment of techniques and tools enabling the cost estimation of projects in the early phases of the software life cycle. Despite of the increasing needs and the available tools and methods, a satisfactory solution is still to be found. During the last two years, has gained some interest in this...
This paper presents a CBR application in the domain of industrial supervision. The domain knowledge is acquired at design stage through different models and some critical prototypical situations. At operating stage, new situations and their associated supervision strategy complete the supervision system and are reused by adaptation in later situations in similar contexts. The system can be viewed...
This paper presents the PROFIL system, a Decision Support Tool for the Design of metallic sections production. The PROFIL system uses a Case-Based Reasoning approach for the selection of pertinent former designs. Production of metallic sections is done by a succession of forming operations. The design task is composed of two parts: selection and scheduling of operations and assessment of forming...
We have compiled a case-based retrieval system for radiology, MacRad, that is structured around descriptors for radiology image findings. Our goal is to provide a feature-coded image resource that allows the user to formulate image content-based queries when searching for reference images. MacRad is implemented as a relational database with an image archive. Each image in the library is indexed according...
CBRefurb is a case-based reasoning (CBR) system for the strategic cost estimation for building refurbishment. This domain is characterised by many uncertainties and variation. Its cost estimation involves large amount of interrelated factors whose impact is difficult to assess. This paper report on the problems faced by the building cost information Services (BCIS) databases and several rule-based...
A new approach is developed for fault diagnosis during different stages of development and operation of large train systems, incorporating case-based reasoning, conditional probabilities and indexing networks. Due to the size and complexity, the explicit, complete and accurate modelling of the on-board train systems is regarded impossible. The knowledge is implicitly available in fault-cases with...
Developing countries still suffer lack of adequate skilled medical health personnel and poor infrastructure. Expert systems have been identified as potential tools in addressing some aspects of these problems. In particular, most of the earlier researchers investigated the possibility of incorporating diagnostic-support applications in the medical work place. They did so by using expert systems that...
This paper describes a system called IDIOM (Interactive Design using Intelligent Objects and Models) that was developed in order to study model-based case combination and adaptation in design. Intelligent objects are defined to be parts of cases that are interpreted at run-time by domain models and through user interaction. Incremental parameterization and dimensionality reduction ensures that design...
Nowadays the automotive industry has to face two major challenges. First products must meet continually increasing government requirements on fuel economy and low exhaust emission. Second the market demands product variety and short production cycles. The automobile's combustion system determines the exhaust emission rate, combustion system engineering is one of the crucial steps in the development...
The paper deals with the problem of improving problem-solving behavior of traditional KBS in the course of its real operation which is a part of the maintenance task. The solution of the problem is searched in integration of the KBS with a specially designed case-based reasoning module used for correcting solutions produced by the KBS. Special attention is paid to the methods of case matching and...
A writing tool has been developed for helping non-native English users to produce a first draft of Introductory Sections of scientific papers. A corpus analysis was carried out in 54 papers of Experimental Physics which allowed one to identify the schematic structure of Introductions and 30 rhetorical strategies generally employed. Each one of the Introductions analysed constituted a case. The user...
In this work, we are interested in how rational decision makers reason with and about reasons in a domain, practical ethics, where they appear to reason about reasons symbolically in terms of both abstract moral principles and case comparisons. The challenge for reasoners, human and artificial, is to use abstract knowledge of reasons and principles to inform decisions about the salience of similarities...
This paper presents an approach of how to build bridges between case-based and model-based reasoning. Unlike other approaches, these bridges do not intend to surmount the whole ”abstraction distance” between concrete cases and generic models in one step. Instead they introduce and use a web of supporting columns which consist of useful intermediate representations called schemata, prototypes, patterns,...
The number of successful, small-scale and purpose-built applications of CBR is growing rapidly. However, CBR has so far not been widely used as a methodology for reusing the large-scale data repositories typically maintained by a corporation. To facilitate this, cases must no longer be considered as concretely represented at the data level, but as virtual views of the underlying data. This paper argues...
There have been several efforts to create and use real maps in computer applications that automatically find good map routes. In general, online map representations do not include information that may be relevant for the purpose of generating good realistic routes, including for example traffic patterns, construction, or number of lanes. Furthermore, the notion of a good route is dependent on a variety...
This paper describes a technique for integrating case-based reasoning with model-based reasoning to predict the behavior of biological systems characterized both by incomplete models and insufficient empirical data for accurate induction. This technique is implemented in CARMA, a system for rangeland pest management advising. CARMA's ability to predict the forage consumption judgments of 15 expert...
One of the great difficulties facing a designer of a knowledge-based interface to a numerical simulation engine is acquiring sufficient domain knowledge to cover a significant range of problems to a depth that will make the system useful for real problem-solving. It is difficult to enumerate a priori all the different scenarios which may be encountered and to devise rules to cater for each. Indeed,...
A variety of case memory organisations and case retrieval techniques have been proposed in the literature. Each of these has different features which can affect how useful they are for different applications. However, in applications which are likely to hold very large numbers of cases, which are highly volatile, and the structure of which is poorly understood, most of the current approaches are unsuitable...
The regression problem is to approximate a function from sample values. Decision trees and decision rules achieve this task by finding regions with constant function values. While recursive partitioning methods are strong in dynamic feature selection and in explanatory capabilities, an essential weakness of these methods is the approximation of a region by a constant value. We propose a new method...
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