What is Case-Based Reasoning

1.

Case-based reasoning is dealing with the “intelligent” reuse of knowledge from already solved old problems (“cases”) and its adaptation to similar, but new und yet unsolved problems. Learn more in: Ontologies for Guaranteeing the Interoperability in e-Business: A Business Economics Point of View

2.

Inference or problem-solving technique based on the similarity between the current problem and previously solved ones that are stored in a repository. Its principle relies on the idea that the more similar two problems, the more similar their solution. Learn more in: Handling Bipolar Queries in Fuzzy Information Processing

3.

The theory of memory and learning which aims to explain how people remember and use their memories in order to solve new problems (Schank et al., 1999). Solving new problems by using or adapting the solutions of the old problems (Riesbeck & Schank, 1989). Learn more in: Pre-Service Computer Teachers as 3D Educational Game Designers

4.

Aims to (re)use previous experiences defined as codified rules and strong domain models (cases) to deal with challenged situation using similarity retrieval techniques. Learn more in: Big Data, Semantics, and Policy-Making: How Can Data Dynamics Lead to Wiser Governance?

5.

The process of solving new problems based on successful past solutions to similar problems. Learn more in: Artificial Intelligence and Investing

6.

The process of learning to solve new problems based on the solutions of similar past problems. Learn more in: Ambient-Intelligent Decision Support System (Am-IDSS) for Smart Manufacturing

7.

Assumes that similar problems provide similar solutions. It provides estimates by comparing the characteristics of the current project to be estimated against a library of historical information from completed projects with a known effort (case base). Learn more in: Web Development Effort Estimation: An Empirical Analysis

8.

A technique that helps solving a specific problem based on past similar ones. Learn more in: A New Approach to Reducing Social Engineering Impact

9.

A knowledge-based artificial intelligence technique which solves problems based on knowledge and experience gained from solving similar past problems. Learn more in: A Fabric Resource Management System (FRMS) for Fashion Product Development

10.

The process of learning to solve new problems based on the solutions of similar past problems. Learn more in: Decision Support for Smart Manufacturing

11.

A technique for problem/search solving which looks for previous examples, which are similar to the current problem/search. Learn more in: Semantic Framework for an Efficient Information Retrieval in the E-Government Repositories

12.

The process of solving new problems based on successful past solutions to similar problems. Learn more in: Applying Artificial Intelligence to Financial Investing

13.

Process of arriving at the solution of a new problem on the basis of the solutions of previously-solved similar problems, such as when a doctor, lawyer, or mechanic relies on experience to remedy a current situation. In comparison to rule based systems (see expert system) which are useful where only one or a few solutions to a problem are possible, case based systems are useful in solving complex problems with many alternative solutions. Learn more in: A Case-Based-Reasoning System for Feature Selection and Diagnosing Asthma

14.

The process of solving new problems based on successful past solutions to similar problems. Learn more in: Applying Artificial Intelligence to Financial Investing

15.

Technique to store solutions for solving actual and similar problems. Learn more in: Business Processes, Dynamic Contexts, Learning

16.

A type of reasoning based on the use of past experiences. The purpose of CBR systems is to solve new problems by adapting solutions that have been used to solve similar problems in the past. The main concept when working with CBR is the concept of case, which can be defined as a past experience. Learn more in: Planning Agent for Geriatric Residences

17.

Case-based reasoning resulting from cases that provide students an opportunity to understand the “why” of real-world situations. Multiple cases promote deep learning because students see how prior solutions can be adapted to new problems or how prior cases are related to new cases. Learn more in: Achieving Classroom Excellence in a Virtual Classroom

18.

The main idea of case-based reasoning (CBR) is to adapt solutions that were used to solve previous problems and use them for solving latest problems (cases). A CBR system consists of a case base (which is the set of all cases that are known to the system) and an inferencing mechanism to drive a solution from the stored cases. Learn more in: Framework for Reusable Test Case Generation in Software Systems Testing

19.

An approach that solves new problems using solutions applied in previous cases. Learn more in: A Trust Case-Based Model Applied to Agents Collaboration

20.

The process of solving new problems by analysis of the solutions to previous problems Learn more in: Legal Issues for Research and Practice in Computational Forensics

21.

It is a kind of experience reasoning. It is based on the principle of “similar problems have similar solutions” A case is an experienced problem and its solution. Abductive case-based reasoning is a more practical explanation-oriented reasoning paradigm. Learn more in: Only Can AI Understand Me?: Big Data Analytics, Decision Making, and Reasoning

22.

A technique that assumes that similar problems present similar solutions. It provides estimates by comparing the characteristics of the current project to be estimated against a library of historical information from completed projects with a known effort (case base). Learn more in: Web 2.0 Effort Estimation

23.

Case-based reasoning (Kolodner 1993) is a reasoning architecture that stores experiences with lessons learned as cases in a case library and solves problems by retrieving the case most similar to the current situation, adapting it for reuse, and retaining new solutions once they have been applied. Case-based reasoning is also a pervasive behavior in everyday human problem solving. Learn more in: Emotional Memory and Adaptive Personalities

24.

A machine learning method consisting of solving a new problem according to previously solved similar problems. Learn more in: Dynamic Adaptation in Ubiquitous Services: A Conceptual Architecture

25.

Case-based reasoning (CBR) is one of the useful mechanisms for both modeling human reasoning and building intelligent software application systems. The basic principle of case-based reasoning systems is that of solving problems by adapting the solution of similar problems solved in the past. A CBR system consists of a case base , which is the set of all cases that are known to the system. The case base can be thought of as a specific kind of knowledge base that contains only cases. When a new case is presented to the system, it checks the case base for similar cases that are most relevant to the case in hand, in a selection process . If a similar case is found, then the system retrieves that particular case and attempts to modify it (if necessary) to produce a potential solution for the new case. The process is known as adaption . Learn more in: Semantically Enhanced Web Service for Global Supply Chain Disruption Management

26.

Solving new problems by adapting solutions that were previously used to solve old problem. Learn more in: Knowledge-Based Systems

27.

Case-based reasoning (CBR) is one of the useful mechanisms for both modeling human reasoning and building intelligent software application systems. The basic principle of case-based reasoning systems is that of solving problems by adapting the solution of similar problems solved in the past. A CBR system consists of a case base , which is the set of all cases that are known to the system. The case base can be thought of as a specific kind of knowledge base that contains only cases. When a new case is presented to the system, it checks the case base for similar cases that are most relevant to the case in hand, in a selection process . If a similar case is found, then the system retrieves that particular case and attempts to modify it (if necessary) to produce a potential solution for the new case. The process is known as adaption . Learn more in: Evaluation of a Scenario-Based Socratic Style of Teaching and Learning Practice