case based reasoning - definition. What is case based reasoning
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APPROACH TO SOLVE NEW CASE ON SOLUTION OF SIMILAR PREVIOUS CASE
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. (1996-05-28)
Textual case-based reasoning         
AREA IN ARTIFICIAL INTELLIGENCE
Textual Case Based Reasoning; Textual case based reasoning
Textual case-based reasoning (TCBR) is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute-value pairs.
Model-based reasoning         
  • Model based goal based agent
Model based reasoning
In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this approach, the main focus of application development is developing the model.

ويكيبيديا

Case-based reasoning

In artificial intelligence and philosophy, case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems.

In everyday life, an auto mechanic who fixes an engine by recalling another car that exhibited similar symptoms is using case-based reasoning. A lawyer who advocates a particular outcome in a trial based on legal precedents or a judge who creates case law is using case-based reasoning. So, too, an engineer copying working elements of nature (practicing biomimicry), is treating nature as a database of solutions to problems. Case-based reasoning is a prominent type of analogy solution making.

It has been argued that case-based reasoning is not only a powerful method for computer reasoning, but also a pervasive behavior in everyday human problem solving; or, more radically, that all reasoning is based on past cases personally experienced. This view is related to prototype theory, which is most deeply explored in cognitive science.