Intelligent Agents(17)

To perform its tasks, EMA must use low-level Internet protocols and

commands. Only when formulating the final query, EMA translates low-level commands into a normal Internet level. Databases do not notice any difference compared to normal human communication. One chunk of knowledge is one HTML command. Chunks are stored in lists as text strings with additional information about statistical success rate, number of uses; there is some additional information regarding the database, query etc. In addition, EMA has knowledge about HTML, employment, and forms coded in their stored memory patterns. EMA stores not only the visible HTML fields, but also the input text written by a user, and the source HTML text. If the input information such us name, date, profession etc. is familiar to EMA, it can later replace it with stored patterns from other users. Since the basic employment information tasks are quite frequent, techniques based on frames or memory-based learning can be applied [19]. However, EMA is currently fairly limited in its capability to adapt to previously unfamiliar patterns.

An important part of any flexible system is learning. In EMA, learning

is performed as storing new patterns [11,12], and as changing statistics about patterns. With stored patterns, knowledge about previous events is introduced. It

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