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<prism:coverDisplayDate>June 2009</prism:coverDisplayDate>
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<item rdf:about="http://logcom.oxfordjournals.org/cgi/content/short/19/3/445?rss=1">
<title><![CDATA[Connections between Belief Revision, Belief Merging and Social Choice]]></title>
<link>http://logcom.oxfordjournals.org/cgi/content/short/19/3/445?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Gabbay, D., Rodrigues, O., Pigozzi, G.]]></dc:creator>
<dc:date>2009-05-21</dc:date>
<dc:identifier>info:doi/10.1093/logcom/exn013</dc:identifier>
<dc:title><![CDATA[Connections between Belief Revision, Belief Merging and Social Choice]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>19</prism:volume>
<prism:endingPage>446</prism:endingPage>
<prism:publicationDate>2009-06-01</prism:publicationDate>
<prism:startingPage>445</prism:startingPage>
<prism:section>Editorial</prism:section>
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<item rdf:about="http://logcom.oxfordjournals.org/cgi/content/short/19/3/447?rss=1">
<title><![CDATA[Geodesic Revision]]></title>
<link>http://logcom.oxfordjournals.org/cgi/content/short/19/3/447?rss=1</link>
<description><![CDATA[
<p>The purpose of this article is to introduce a class of distance-based iterated revision operators generated by minimizing the geodesic distance on a graph. Such operators correspond bijectively to metrics and have a simple finite presentation. As distance is generated by distinguishability, our framework is appropriate for modelling contexts where distance is generated by threshold, and therefore, when measurement is erroneous.</p>
]]></description>
<dc:creator><![CDATA[Georgatos, K.]]></dc:creator>
<dc:date>2009-05-21</dc:date>
<dc:identifier>info:doi/10.1093/logcom/exn008</dc:identifier>
<dc:title><![CDATA[Geodesic Revision]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>19</prism:volume>
<prism:endingPage>459</prism:endingPage>
<prism:publicationDate>2009-06-01</prism:publicationDate>
<prism:startingPage>447</prism:startingPage>
<prism:section>Original Articles</prism:section>
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<item rdf:about="http://logcom.oxfordjournals.org/cgi/content/short/19/3/461?rss=1">
<title><![CDATA[Aggregating Judgements by Merging Evidence]]></title>
<link>http://logcom.oxfordjournals.org/cgi/content/short/19/3/461?rss=1</link>
<description><![CDATA[
<p>The theory of belief revision and merging has recently been applied to judgement aggregation. In this article I argue that judgements are best aggregated by merging the evidence on which they are based, rather than by directly merging the judgements themselves. This leads to a three-step strategy for judgement aggregation. First, merge the evidence bases of the various agents using some method of belief merging. Second, determine which degrees of belief one should adopt on the basis of this merged evidence base, by applying objective Bayesian theory. Third, determine which judgements are appropriate given these degrees of belief by applying a decision-theoretic account of rational judgement formation.</p>
]]></description>
<dc:creator><![CDATA[Williamson, J.]]></dc:creator>
<dc:date>2009-05-21</dc:date>
<dc:identifier>info:doi/10.1093/logcom/exn011</dc:identifier>
<dc:title><![CDATA[Aggregating Judgements by Merging Evidence]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>19</prism:volume>
<prism:endingPage>473</prism:endingPage>
<prism:publicationDate>2009-06-01</prism:publicationDate>
<prism:startingPage>461</prism:startingPage>
<prism:section>Original Articles</prism:section>
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<item rdf:about="http://logcom.oxfordjournals.org/cgi/content/short/19/3/475?rss=1">
<title><![CDATA[Aggregating Partially Ordered Preferences]]></title>
<link>http://logcom.oxfordjournals.org/cgi/content/short/19/3/475?rss=1</link>
<description><![CDATA[
<p>Preferences are not always expressible via complete inear orders: sometimes it is more natural to allow for the presence of incomparable outcomes. This may hold both in the agents' preference ordering and in the social order. In this article, we consider this scenario and study what properties it may have. In particular, we show that, despite the added expressivity and ability to resolve conflicts provided by incomparability, classical impossibility results (such as Arrow's theorem, Muller&ndash;Satterthwaite's theorem and Gibbard&ndash;Satterthwaite's theorem) still hold. We also prove some possibility results, generalizing Sen's theorem for majority voting. To prove these results, we define new notions of unanimity, monotonicity, dictator, triple-wise value-restriction and strategy-proofness, which are suitable and natural generalizations of the classical ones for complete orders.</p>
]]></description>
<dc:creator><![CDATA[Pini, M. S., Rossi, F., Venable, K. B., Walsh, T.]]></dc:creator>
<dc:date>2009-05-21</dc:date>
<dc:identifier>info:doi/10.1093/logcom/exn012</dc:identifier>
<dc:title><![CDATA[Aggregating Partially Ordered Preferences]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>19</prism:volume>
<prism:endingPage>502</prism:endingPage>
<prism:publicationDate>2009-06-01</prism:publicationDate>
<prism:startingPage>475</prism:startingPage>
<prism:section>Original Articles</prism:section>
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<item rdf:about="http://logcom.oxfordjournals.org/cgi/content/short/19/3/503?rss=1">
<title><![CDATA[Non-manipulable Social Welfare Functions when Preferences are Fuzzy]]></title>
<link>http://logcom.oxfordjournals.org/cgi/content/short/19/3/503?rss=1</link>
<description><![CDATA[
<p>It is well known that many social decision procedures are manipulable through strategic behaviour. Typically, the decision procedures considered in the literature have been social choice correspondences. In this article, we investigate the problem of constructing a social welfare function that is non-manipulable. In this context, individuals attempt to manipulate a social ordering as opposed to a social choice.</p>
<p>Using techniques from fuzzy set theory, we introduce a class of fuzzy binary relations of which exact binary relations are a special case. Operating within this family enables us to prove an impossibility theorem. This theorem states that all non-manipulable social welfare functions are dictatorial, provided that they are not constant. A proof of this theorem first appeared in Perote-Pe&ntilde;a and Piggins (2007, J. Math. Econ., 43, 564&ndash;580). This article contains a new proof of this theorem which is considerably simpler than the original. Moreover, we also consider a possibility result which this earlier article neglects.</p>
]]></description>
<dc:creator><![CDATA[Perote-Pena, J., Piggins, A.]]></dc:creator>
<dc:date>2009-05-21</dc:date>
<dc:identifier>info:doi/10.1093/logcom/exn010</dc:identifier>
<dc:title><![CDATA[Non-manipulable Social Welfare Functions when Preferences are Fuzzy]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>19</prism:volume>
<prism:endingPage>515</prism:endingPage>
<prism:publicationDate>2009-06-01</prism:publicationDate>
<prism:startingPage>503</prism:startingPage>
<prism:section>Original Articles</prism:section>
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<item rdf:about="http://logcom.oxfordjournals.org/cgi/content/short/19/3/517?rss=1">
<title><![CDATA[A General Approach to Aggregation Problems]]></title>
<link>http://logcom.oxfordjournals.org/cgi/content/short/19/3/517?rss=1</link>
<description><![CDATA[
<p>We discuss a general approach to judgement aggregation based on lattice theory. Agents choose elements of a lattice, and an aggregation procedure yields a &lsquo;social choice&rsquo; based on the individual choices. Settings traditionally studied in social choice theory can be thought of as implicational systems, and lattice theory provides an abstraction of such systems. In fact, traditionally studied settings correspond to certain atomistic lattices in our framework. Our aim is to systematically investigate how properties of a given lattice induce constraints on aggregation procedures that lead up to impossibility theorems. We allow for non-atomistic lattices and this raises some subtle issues. We will discuss how well our framework fits in with the traditional approaches to social choice theory, in particular with respect to generalizations of some of the well known axioms, and go on prove an impossibility result that highlights the role of certain lattice theoretical properties. These properties reflect some of the traditional axioms or other aspects of traditional systems.</p>
]]></description>
<dc:creator><![CDATA[Daniels, T. R., Pacuit, E.]]></dc:creator>
<dc:date>2009-05-21</dc:date>
<dc:identifier>info:doi/10.1093/logcom/exn009</dc:identifier>
<dc:title><![CDATA[A General Approach to Aggregation Problems]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:number>3</prism:number>
<prism:volume>19</prism:volume>
<prism:endingPage>536</prism:endingPage>
<prism:publicationDate>2009-06-01</prism:publicationDate>
<prism:startingPage>517</prism:startingPage>
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