Generalized Update: Belief Change in Dynamic Settings

نویسنده

  • Craig Boutilier
چکیده

Behef revision and belief update have been proposed as two types of behef change serving differ ent purposes Belief revision is intended to capture changes of an agent's belief state reflecting new information about a static world Belief update is intended to capture changes of behef in response to a changing world We argue that both belief revision and behef update are too restrictive, routine behef change involves elements of both We present a model for generalized update that allows updates in response to external changes to inform the agent about its pnor beliefs This model of update combines aspects of revision and update, providing a more realistic characterization of behef change We show that, under certain assumptions, the original update postulates are satisfied We also demonstrate that plain revision and plain update are special cases of our model, in a way that formally verifies the intuition that revision is suitable for "static" belief change

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تاریخ انتشار 1995