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Knowledge Management Tools                                            299



                   Adaptivity    The capacity to change and improve according to the experiences accumu-
               lated. This has to do with memory and learning. An agent learns from its user and
               progressively improves in performing its tasks. The most experimental bots even
               develop their own personalities and make decisions based upon past experiences.
                   Cooperation    The interactivity between agent and user is fundamentally different from
               the one-way working of ordinary software.
                    There are many knowledge management applications that make use of intelligent
               agents (e.g., see Elst et al. 2004). These include personalized information manage-
               ment (such as fi ltering e-mail), electronic commerce (such as locating information
               for purchasing and buying), and management of complex commercial and indus-
               trial processes (such as scheduling appointments and air traffi c control). These
               tasks/applications can generally be grouped into fi ve categories ( Khoo, Tor, and Lee
               1998 ):
                   Watcher agents    Look for specifi c information
                   Learning agents    Tailor to an individual ’ s preferences by learning from the user ’ s past
               behavior
                   Shopping agents    Compare  “ the best price for an item ”
                   Information retrieval agents    Help the user to  “ search for information in an intelligent
               fashion ”
                   Helper agents    Perform tasks autonomously without human interaction.

                    In the age of computers, information is readily available on the Internet, whether
               it is useful or useless. There is so much data available that we often claim to be over-
               loaded with   information. Having too much data can cause as much trouble as having
               no data, as we must shift through so much information to get what we need. We can
               categorize this information overload problem into two divisions:
                   Information fi ltering    We must go through an enormous amount of information to fi nd
               the small portion that is relevant to us.
                   Information gathering    There is not enough information available to us and we have
               to search long and hard to fi nd what we need.
                    Information fi ltering is a particularly important function in KM, as users need a
               way of fi ltering these data into a more manageable situation. Knowledge workers (such
               as managers, technical professionals, and marketing personnel) need information in
               a timely manner as it can greatly affect their success. Tasks that are redundant or
               routine need to be minimized by some individuals that can otherwise spend their time
               more productively ( Roesler and Hawkins 1994 ).
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