case based reasoning


Also found in: Medical.

case based reasoning

(artificial intelligence)
(CBR) A technique for problem solving which looks for previous examples which are similar to the current problem. This is useful where heuristic knowledge is not available.

There are many situations where experts are not happy to be questioned about their knowledge by people who want to write the knowledge in rules, for use in expert systems. In most of these situations, the natural way for an expert to describe his or her knowledge is through examples, stories or cases (which are all basically the same thing). Such an expert will teach trainees about the expertise by apprenticeship, i.e. by giving examples and by asking the trainees to remember them, copy them and adapt them in solving new problems if they describe situations that are similar to the new problems. CBR aims to exploit such knowledge.

Some key research areas are efficient indexing, how to define "similarity" between cases and how to use temporal information.
Mentioned in ?
References in periodicals archive ?
Figure 2 shows the case based reasoning (CBR) architecture for Green IS implementation in organisation.
In Proceedings of the 19th International Conference on Case Based Reasoning (ICCBR 2011) Lecture Notes in Artificial Intelligence 6880: 378-392.
The adoption of Case Based Reasoning CBR approach enables clients and benefactor to get access to confirmed solution of targeted problem among different similar cases.
Weber, "The application of case based reasoning to decision support in new product development," Integrated Manufacturing Systems, vol.
(2012) Architectonical Modeling of Metamemory Judgment in Case Based Reasoning Systems.
CBRefurb: case-based cost estimation, case based reasoning: prospects for application, IEE Colloquium 7: 1-5.
Abstract: Case based reasoning (CBR) methodologies are one the nowadays methodologies for automating decision making.
Towards the application of case based reasoning to decision-making in current product development (concurrent engineering).
A few examples of more specific topics include time value of the Internet banking adoption and customer trust, integrated equity applications after the US Sarbanes-Oxley legislation, herd behavior as a source of volatility in agent expectations in derivatives pricing, use of quadratic filter for the estimation of time-varying ss, the simulation of news and insiders' influence on stock-market price dynamics in a non-linear model, and strategic asset allocation using quadratic programming with case based reasoning and intelligent agents.
Case Based Reasoning (CBR) has received a fair amount of attention as it relates to naturalistic decision making (Klein & Calderwood, 1988).
Casting Process Planning Using Case Based Reasoning (03-054)