<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Three Tools of Belief Change: Selection, Retention and Distribution</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Abhaya Nayak</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Intelligent Systems Group Department of Computing</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Macquarie University</institution>
          ,
          <country country="AU">Australia</country>
        </aff>
      </contrib-group>
      <abstract>
        <p />
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Belief Change deals with how a belief state should rationally be modified in
response to some observation made or evidence received. There are several
related approaches to deal with different issues relevant to belief change. A body
of knowledge could be a finite set or infinite, the modification method could be
used on a one off basis or repeatedly, the body of knowledge could be
probabilistic or non-probabilistic, the modification could involve removal of knowledge
or addition of knowledge, and so on. There are some standard tools that are
used in modifying a body of knowledge. The “selection” tool is possibly the best
known among them. It comes in the form of epistemic entrenchment,
plausibility ordering or other such tie breaking mechanisms, and used mostly in the
context of non-probabilistic belief change. In the probabilistic context we need
two more tools, Retention and Distribution that will help with rational
modification of probabilistic knowledge. In this talk I will briefly touch upon some
ideas in this context.</p>
    </sec>
  </body>
  <back>
    <ref-list />
  </back>
</article>