This paper presents an intelligent ittformatioti filtering system that learns f r o m m e r feedback and behavior through evolrrtiotiary nlgorithms. By applying the learning abilities of a Classifier System and Genetic Algorithms to the system the follobvitig tasks can be performed:( I ) reducing a user's information overload (2) predicts the actions that the users are supposed to( 3 ) prioritizing of emails do and
Adaptive filtering of information involves modelling the user's behavior and learning from feedback. This paper describes the design of a cognitive information filtering system that applies (1) linguistic analysis to obtain consistent representations of the contents of messages, (2) an evolutionary algorithm for prioritizing morphologically parsed e-mails and (3) a monitor to simulate cognitive user behavior.
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