Plataforma de raonament basat en casos per a la gestió del coneixement

Abstract

Case-Based Reasoning, CBR, is a kind of reasoning based on solving new problems using solutions obtained of previous problems. As something natural, human beings use this case-based reasoning to face problems that arise every day. For instance: the mechanic that repairs a car remembering another car having the same problems is using case-based reasoning. That is why CBR is called an expert system since is a system that tries to imitate the behavior of an expert human being, that is to say, it follows the same steps that a human being would take trying to solve different problems. Continuing with the example of the mechanic, an expert system in charge of diagnosing mechanical car problems would follow the same steps that a mechanic does. In this way, the advantages of creating a CBR are clear: to make easier experts’ task use CBR as a help system on decision making. In addition, human beings do something more: we update our knowledge; that is to say, we forget useless information and we learn and remember useful one. This is as important to experts systems as it is to human beings. On the one hand, an expert system that does not get new information is a high quality system nowadays but it will become obsolete in the future. On the other hand, an expert system that does not forget information and keeps on getting more and more will produce a huge database, excessively big to be processed in order to solve new problems or a mediocre expert system by means of cutting back the amount of information used.