<p>The aim of this paper is to introduce the logics <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq5.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="49" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FFDE}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="italic">FFDE</mi> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq6.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FN}{4}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="italic">FN</mi> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation>, which are universally free versions of Belnap-Dunn’s four-valued logic, also known as the logic of first-degree entailment (<InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq7.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="38" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FDE}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="italic">FDE</mi> </math></EquationSource> </InlineEquation>), and Nelson’s paraconsistent logic <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq8.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="28" /> </InlineMediaObject> <EquationSource Format="TEX">\(N^{-}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>N</mi> <mo>-</mo> </msup> </math></EquationSource> </InlineEquation> (a.k.a. <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq9.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="36" /> </InlineMediaObject> <EquationSource Format="TEX">\(Q\!N {4}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>Q</mi> <mspace width="-0.166667em" /> <mi>N</mi> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation>). Both <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq10.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="38" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FDE}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="italic">FDE</mi> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq11.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="36" /> </InlineMediaObject> <EquationSource Format="TEX">\(Q\!N {4}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>Q</mi> <mspace width="-0.166667em" /> <mi>N</mi> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation> are suitable to be interpreted as information-based logics, that is, logics that are capable of representing the deductive behavior of possibly inconsistent and incomplete information in a database. Like <InlineEquation ID="IEq12"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq12.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="36" /> </InlineMediaObject> <EquationSource Format="TEX">\(Q\!N {4}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>Q</mi> <mspace width="-0.166667em" /> <mi>N</mi> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation> and some non-free first-order extensions of <InlineEquation ID="IEq13"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq13.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="38" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FDE}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="italic">FDE</mi> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq14"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq14.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="49" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FFDE}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="italic">FFDE</mi> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq15"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq15.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FN}{4}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="italic">FN</mi> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation> are endowed with Kripke-style variable domain semantics, which allows representing the dynamic aspect of information processing, that is, how a database receives new information over time, including information about new individuals. We argue, however, that <InlineEquation ID="IEq16"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq16.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="49" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FFDE}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="italic">FFDE</mi> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq17"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10992_2025_9783_Article_IEq17.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textit{FN}{4}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="italic">FN</mi> <mn>4</mn> </mrow> </math></EquationSource> </InlineEquation> can better represent the development of inconsistent and incomplete information states (i.e., configurations of a database) over time than their non-free versions. First, because they allow for empty domains, which corresponds to the idea that a database may acknowledge no individual at all at an early stage of its development. Second, because they allow for empty names, which get interpreted as information about new individuals is inserted into the database. Also, both systems include an identity predicate that is interpreted along the same lines of the other logical operators, viz., in terms of independent positive and negative rules.</p>

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On Universally Free First-Order Extensions of Belnap-Dunn’s Four-Valued Logic and Nelson’s Paraconsistent Logic \(N{4}\)

  • Henrique Antunes,
  • Abilio Rodrigues

摘要

The aim of this paper is to introduce the logics \(\textit{FFDE}\) FFDE and \(\textit{FN}{4}\) FN 4 , which are universally free versions of Belnap-Dunn’s four-valued logic, also known as the logic of first-degree entailment ( \(\textit{FDE}\) FDE ), and Nelson’s paraconsistent logic \(N^{-}\) N - (a.k.a. \(Q\!N {4}\) Q N 4 ). Both \(\textit{FDE}\) FDE and \(Q\!N {4}\) Q N 4 are suitable to be interpreted as information-based logics, that is, logics that are capable of representing the deductive behavior of possibly inconsistent and incomplete information in a database. Like \(Q\!N {4}\) Q N 4 and some non-free first-order extensions of \(\textit{FDE}\) FDE , \(\textit{FFDE}\) FFDE and \(\textit{FN}{4}\) FN 4 are endowed with Kripke-style variable domain semantics, which allows representing the dynamic aspect of information processing, that is, how a database receives new information over time, including information about new individuals. We argue, however, that \(\textit{FFDE}\) FFDE and \(\textit{FN}{4}\) FN 4 can better represent the development of inconsistent and incomplete information states (i.e., configurations of a database) over time than their non-free versions. First, because they allow for empty domains, which corresponds to the idea that a database may acknowledge no individual at all at an early stage of its development. Second, because they allow for empty names, which get interpreted as information about new individuals is inserted into the database. Also, both systems include an identity predicate that is interpreted along the same lines of the other logical operators, viz., in terms of independent positive and negative rules.