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Towards an evolutionary approach to case retrieval.
| Content Provider | CiteSeerX |
|---|---|
| Author | Nouaouria-Amri, Nabila Mohamed, Yamina Ali, Ben |
| Abstract | Abstract: Case-Based Reasoning (CBR) is a problem solving paradigm which is able to retrieve and reuse solutions that have worked for similar situations in the past. Past situations and their solutions are stored in a memory called case base. To find the good experiment in memory is the key of success in the reasoning. The good experiment is the one that can perform the best inference. To identify adequate experiment in memory constitutes the process of recall. In this paper, we present an evolutionary approach of the recall process applied to associative memory architecture. The main idea is to compute the neighbourhood of a new problem by an evolutionary algorithm. This will delimit our search space in the case base. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Evolutionary Approach Case Retrieval Case Base Good Experiment Associative Memory Architecture Case-based Reasoning New Problem Past Situation Adequate Experiment Main Idea Similar Situation Recall Process Evolutionary Algorithm Search Space |
| Content Type | Text |
| Resource Type | Article |
