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Unit 13: Knowledge Management




          But, what categories do people use inside their own heads? People use knowledge structures,  Notes
          ways of organizing information into a coherent whole, in order to process what goes on around
          them. Knowledge structures help us make sense of the world around us. What knowledge
          structures does an expert have and how do they acquire them?

          Understanding how knowledge structures are acquired helps us understand what kinds of entities
          they are. Learning depends upon knowledge and knowledge depends upon learning. A script is
          a simple knowledge structure that organizes knowledge we all know about event sequences in
          situations like restaurants, air travel, hotel check in, and so on. We know what to expect and
          interpret events in light of our expectations. But do we use this kind of structure to manage
          knowledge?

          If something odd happens to us in a restaurant, how do we recall it later? Let me count the ways.
          We would recall it if we entered the same restaurant at another time or if we had the same
          waitress at a different restaurant, or if we ate with the same dinner companions (assuming we
          ate with them rarely). It is clear that an incident in memory is indexed in many ways. One set of
          indices is the “people, props and places” that appeared in an incident and are associated specifically
          with that incident.
          But there is more abstract indexing method that goes beyond the “people, props, and places”
          type of index. Those indices are about actions, results of actions, and lessons learned from
          actions. These indices matter greatly in a KM system. If they do not exist no one will learn
          anything from a description of an event that has lessons in it beyond those about the people and
          places of that event.

          One set of abstractions about actions involves roles and tasks. Organizing information around
          role and tasks allows events to be easily accessed if one has an implicit understanding of the
          roles and tasks involved in a given situation.
          Beyond using an organizational scheme involving roles and tasks, human experts can do
          something that is quite significant. They can abstract up a level to organize information around
          plans and goals. To put this another way, if the waitress dumped spaghetti on the head of
          someone who offended her, you should get reminded of that event by the 3 Ps and also if you
          should happen to witness this event in some other setting. But, far more importantly, you
          should get reminded of this event if you witness the same kind of event another time. The
          question is what does it mean to be the same kind of event? Whatever this means, it would mean
          different things to different people. One person might see it as an instance of “female rage” and
          another as an instance of “justifiable retribution.” Another might see it as a kind of art.
          The key issue is to learn from it. Any learning that takes place involves placing the new memory
          in a place in memory whereby it adds to and expands upon what is already in that place. So, it
          might tell us more about that waitress, or waitresses in general, or women in general, or about
          that restaurant and so on, depending upon what we previously believed to be true of all those
          things. New events modify existing beliefs by adding data to what we already know or by
          contradicting what we already know and forcing us to new conclusions. Either way, learning is
          more than simply adding new information. Since information helps us form a point of view,
          when we add new information it changes the information we already have.
          The question is: how do we find the information we already have? This answer depends upon
          how it was indexed (or categorized) in the first place. Learning depends upon the initial
          categorization of what we know and may involve changing those categorizations in order to get
          smarter. A KM system that does not do this will never be very smart and will fail to absorb new
          information in significant ways.





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