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<title>Logic Journal of IGPL - Advance Access</title>
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<prism:eIssn>1368-9894</prism:eIssn>
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<prism:issn>1367-0751</prism:issn>
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<title><![CDATA[Relational approach for a logic for order of magnitude qualitative reasoning with negligibility, non-closeness and distance]]></title>
<link>http://jigpal.oxfordjournals.org/cgi/content/short/jzp016v1?rss=1</link>
<description><![CDATA[
<p>We present a relational proof system in the style of dual tableaux for a multimodal propositional logic for order of magnitude qualitative reasoning to deal with relations of negligibility, non-closeness, and distance. This logic enables us to introduce the operation of qualitative sum for some classes of numbers. A relational formalization of the modal logic in question is introduced in this paper, i.e., we show how to construct a relational logic associated with the logic for order-of-magnitude reasoning and its dual tableau system which is a validity checker for the modal logic. For that purpose, we define a validity preserving translation of the modal language into relational language. Then we prove that the system is sound and complete with respect to the relational logic defined as well as with respect to the logic for order of magnitude reasoning. Finally, we show that in fact relational dual tableau does more. It can be used for performing the four major reasoning tasks: verification of validity, proving entailment of a formula from a finite set of formulas, model checking, and verification of satisfaction of a formula in a finite model by a given object.</p>
]]></description>
<dc:creator><![CDATA[Golinska-Pilarek, J., Munoz-Velasco, E.]]></dc:creator>
<dc:date>2009-06-16</dc:date>
<dc:identifier>info:doi/10.1093/jigpal/jzp016</dc:identifier>
<dc:title><![CDATA[Relational approach for a logic for order of magnitude qualitative reasoning with negligibility, non-closeness and distance]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:publicationDate>2009-06-16</prism:publicationDate>
<prism:section>Original Papers</prism:section>
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<item rdf:about="http://jigpal.oxfordjournals.org/cgi/content/short/jzp015v1?rss=1">
<title><![CDATA[Every Computably Enumerable Random Real Is Provably Computably Enumerable Random]]></title>
<link>http://jigpal.oxfordjournals.org/cgi/content/short/jzp015v1?rss=1</link>
<description><![CDATA[
<p>We prove that every computably enumerable (c.e.) random real is provable in Peano Arithmetic (PA) to be c.e. random. A major step in the proof is to show that the theorem stating that "a real is c.e. and random iff it is the halting probability of a universal prefix-free Turing machine" can be proven in PA. Our proof, which is simpler than the standard one, can also be used for the original theorem.</p>
<p>Our positive result can be contrasted with the case of computable functions, where not every computable function is provably computable in PA, or even more interestingly, with the fact that almost all random finite strings are not provably random in PA.</p>
<p>We also prove two negative results: a) there exists a universal machine whose universality cannot be proved in PA, b) there exists a universal machine <I>U</I> such that, based on <I>U</I>, PA cannot prove the randomness of its halting probability.</p>
<p>The paper also includes a sharper form of the Kraft-Chaitin Theorem, as well as a formal proof of this theorem written with the proof assistant Isabelle.</p>
]]></description>
<dc:creator><![CDATA[Calude, C. S., Hay, N. J.]]></dc:creator>
<dc:date>2009-06-07</dc:date>
<dc:identifier>info:doi/10.1093/jigpal/jzp015</dc:identifier>
<dc:title><![CDATA[Every Computably Enumerable Random Real Is Provably Computably Enumerable Random]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:publicationDate>2009-06-07</prism:publicationDate>
<prism:section>Original Papers</prism:section>
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<item rdf:about="http://jigpal.oxfordjournals.org/cgi/content/short/jzp014v1?rss=1">
<title><![CDATA[Distance-Based Non-Deterministic Semantics for Reasoning with Uncertainty]]></title>
<link>http://jigpal.oxfordjournals.org/cgi/content/short/jzp014v1?rss=1</link>
<description><![CDATA[
<p>Non-deterministic matrices, a natural generalization of many-valued matrices, are semantic structures in which the value assigned to a complex formula may be chosen non-deterministically from a given set of options. We show that by combining non-deterministic matrices and distance-based considerations, one obtains a family of logics that are useful for reasoning with uncertainty. These logics are a conservative extension of those that are obtained by standard (i.e., deterministic) distance-based semantics, and so usual distance-based methods (in the context of, e.g., belief revision, information integration, and social choice theory) are easily simulated within our framework.</p>
<p>We investigate the basic properties of the distance-preferential non-deterministic logics, consider their application for reasoning with incomplete and inconsistent information, and show the correspondence between some particular entailments in our framework and well-known problems like max-SAT.</p>
]]></description>
<dc:creator><![CDATA[Arieli, O., Zamansky, A.]]></dc:creator>
<dc:date>2009-06-07</dc:date>
<dc:identifier>info:doi/10.1093/jigpal/jzp014</dc:identifier>
<dc:title><![CDATA[Distance-Based Non-Deterministic Semantics for Reasoning with Uncertainty]]></dc:title>
<dc:publisher>Oxford University Press</dc:publisher>
<prism:publicationDate>2009-06-07</prism:publicationDate>
<prism:section>Original Papers</prism:section>
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