Fuzzy cognitive state map VS Markovian modeling of user's web behavior

The vast majority of college students have been reared as researchers in an environment where boundaries for information have been clearly marked, i.e., that of books and paper text. Increasingly, however, they are called upon to perform tasks in an environment not clearly bounded, that of hyperspace. How do we learn to surf in this unfamiliar medium? What strategies do people use when surfing through the unbounded space of hyperlinks or the World Wide Web (WWW)? In order to effectively teach students new surfing skills we must be able to understand how neophyte web users form the cognitive neurological networks that result in a mental pathway, or cognitive map, that makes more navigable the route to further information as well as the information they set out to find. A markovian modeling of users behavior is introduced and compared to a fuzzy cognitive map (FCM) that represents the opinions of experts on how users surf the web. Experts are divided on what causes users to fail their queries on the web. This paper shows that a viable FCM model can be developed and some limit-cycle equilibria are uncovered. A FCM limit cycle repeats a sequence of events and actions. Limit cycles can reveal cognitive and behavioral patterns of users on the web. An adaptive FCM is built to reflect its causal behavior in time. This change reflects the users behavior as their knowledge of the web increases with time. The causal behavior learns from data. Users lean new patterns and reinforce old ones.