Case-Based Reasoning

  title={Case-Based Reasoning},
  author={Michael M. Richter and Rosina O. Weber},
  booktitle={Springer Berlin Heidelberg},

An Optimal Footprint Method for Case-Base Maintenance

The footprint based approach is a data reduction approach in CBR which identifies a set of representative cases called the footprint set, which can solve the remaining cases in the case-base which is studied empirically in this paper.

Argumentation for Case-Based Reasoning

Argumentation for Case-Based Reasoning Kristijonas Čyras Imperial College London London, UK Ken Satoh National Institute of Informatics Tokyo, Japan Francesca Toni Imperial College London London, UK

A case-based reasoning approach for task-driven spatial–temporally aware geospatial data discovery through geoportals

A Case-Based Reasoning-supported Geospatial Data Discovery (CBR-GDD) method and implementation that accesses geospatial data by tasks and builds an analogue reasoning process that provides an internal mechanism bridging tasks and geosp spatial data with spatial–temporal awareness, thus providing solutions based on past tasks.

Methodological Aspects of the Application of Model Theory in Knowledge Engineering and Artificial Intelligence

  • D. Palchunov
  • Computer Science
    2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)
  • 2022
The paper deals with methodological aspects and methodological problems of applying the Model Theory for solving problems of extraction, formal representation and processing of knowledge,

Constraint solver for a fixture design: results of a student case study

The lecture is conducted in a flipped classroom concept to not only teach the students the theoretical basics but to enable them to independently formulate and integrate design problems, which can be abstracted as configuration problems, so that they develop a sustainable competence through learning-by-doing.

A case-based reasoning system to recommend solutions for source water protection: knowledge acquisition and modelling

A knowledge acquisition and modelling process to support complex decision-making related to source water protection and form the backbone of a knowledge-based recommender system prototype that implements case-based reasoning.

Machine learning techniques for software testing effort prediction

The contribution of the present study is to investigate the application for STEP of five machine learning (ML) models reported as the most accurate ones when applied to SDLC effort prediction.



Adaptation Rule Learning for Case-Based Reasoning

The results of preliminary experiment show that the adaptation rules obtained could improve the performance of theCBR system compared to a retrieval-only CBR system.

The Knowledge Contained in Similarity Measures

Of which nature is the knowledge a similarity measure can contain? How to bring the knowledge into the measure? How to retrieve and use the knowledge for actual problems?

Learning by Analogy : Formulating and Generalizing Plans from Past Experience

  • G.
  • Computer Science
  • 2011
A theory of analogical problem solving based on an extension to means-ends analysis and an analogical transformation process is developed to extract knowledge from past successful problem solving situations that bear strong similarity to the current problem.

Planning and Learning by Analogical Reasoning

  • M. Veloso
  • Business
    Lecture Notes in Computer Science
  • 1994
The problem solver automates the generation of problem solving cases and automates case storage, leading to efficient case retrieval and analogical replay.

Potential Uses of Case-Based Reasoning in Experience Based Construction of Software Systems and Business Process Support

By introducing the CBR process model and demonstrating its usefulness for more realistically representing the spectrum of potential CBR applications, this extended abstract successfully exemplify that work done in the field of Software Engineering is valuable for theCBR community.

Highlights of the European INRECA Projects

An overview of the main research results obtained in both Induction and REasoning from CAses projects is given and links to the most important publications are provided.

Retrieving Cases in Structured Domains by Using Goal Dependencies

This work presents a domain-independent architecture that explicitly represents these dependencies between certain key elements in the domain so that retrieving relevant cases is ensured without negatively affecting the performance of the case-based planning process.

Towards a Unified Theory of Adaptation in Case-Based Reasoning

A first analysis of case adaptation independently from a specific application domain is proposed to combine the retrieval and adaptation steps in a unique planning process that builds an ordered sequence of operations starting from an initial state and leading to a final state.

Financial Risk and the Need for Superior Knowledge Management

Three recent failures of risk management—at Barings Bank, Kidder Peabody, and Metallgesellschaft—appear to be due to three underlying causes: dysfunctional culture, unmanaged organizational