case based reasoning


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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.
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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.
Abstract: Case based reasoning (CBR) methodologies are one the nowadays methodologies for automating decision making.
In Proceedings of the 4th International Conference on Case Based Reasoning, Lecture Notes in Computer Science, Volume 2080, 634-647.
Towards the application of case based reasoning to decision-making in current product development (concurrent engineering).
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)
Kaidara, the leading provider of global advisory software, today announced that National Semiconductor (NYSE:NSM), the leading silicon and systems provider for information appliances, has adopted Kaidara's Case Based Reasoning (CBR) technology as a key component of its new Product Quality Assurance (PQA) tracking application, Total Recall System.
The computer aided workholder design system is created on case based reasoning (CBR), in which the attributes of the workpiece and structure of workholder as case index code are designed for the retrieve of the similar cases, and the structure and hierarchical relation of case library are stored.
Furthermore, ART*Enterprise is the only decisioning technology available that provides both rule based and case based reasoning.
Prior to joining Inference, Pulaski held management positions at NASA and worked Case Based Reasoning research at Georgia Tech University.
This partnership allows Inference's patented Case Based Reasoning (CBR) products to be used as integral components of Watergate Software's products.