<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462024000301401</article-id>
<article-id pub-id-type="doi">10.13053/cys-28-3-5200</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Towards a Proto Artificial General Intelligence: The Role of Large Language Model Ontologies in its Development]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Maldonado-Sifuentes]]></surname>
<given-names><![CDATA[Christian E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas-Santiago]]></surname>
<given-names><![CDATA[Mariano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Solís-Gamboa]]></surname>
<given-names><![CDATA[Samuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sidorov]]></surname>
<given-names><![CDATA[Grigori]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lechuga-Gutiérrez]]></surname>
<given-names><![CDATA[Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Andrade]]></surname>
<given-names><![CDATA[Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Heras-Sánchez]]></surname>
<given-names><![CDATA[María del Carmen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Transdisciplinary Research for Augmented Innovation Laboratory  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Consejo Nacional de Humanidades Ciencias y Tecnologías  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Politécnico Nacional Centro de Investigación en Computación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de Sonora  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<volume>28</volume>
<numero>3</numero>
<fpage>1401</fpage>
<lpage>1415</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462024000301401&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462024000301401&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462024000301401&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Proto Artificial General Intelligence (ProtoAGI) aims to create a versatile artificial intelligence system capable of autonomously performing diverse tasks. A foundational element of ProtoAGI is the Large Language Model (LLM) ontology, which plays a crucial role in organizing and retrieving information about different LLMs, enabling the selection of the most appropriate model for specific tasks. This ontology, the first of several designed to support ProtoAGI, addresses key challenges in managing and accessing information regarding LLM capabilities, performance, and task suitability. We present the methodology for constructing this ontology, covering data extraction, enrichment, and model recommendation using a generalized LLM API. The initial version of this ontology involved processing over a million tokens, underscoring the system&#8217;s complexity and the scale of information integrated. This ontology is designed for continuous updates, ensuring that ProtoAGI remains current with the latest advancements in LLMs. The ongoing development of this ontology marks a significant step in ProtoAGI&#8217;s evolution, following an initial proof-of-concept demonstrated during the 2024 eclipse, where the feasibility of integrating such a comprehensive LLM ontology into a general-purpose AI system was shown. By making this ontology accessible to the broader AI community, we aim to accelerate further advancements in AGI research and applications.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Artificial general intelligence]]></kwd>
<kwd lng="en"><![CDATA[large language models]]></kwd>
<kwd lng="en"><![CDATA[ontology]]></kwd>
<kwd lng="en"><![CDATA[hybrid intelligent systems]]></kwd>
<kwd lng="en"><![CDATA[multi-agent systems]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Azam]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rafiq]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Gul-Naz]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghafoor]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Un-Nisa]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Malik]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel model of narrative memory for conscious agents]]></article-title>
<source><![CDATA[International Journal of Information Systems and Computer Technologies]]></source>
<year>2024</year>
<volume>3</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>12-22</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Besold]]></surname>
<given-names><![CDATA[T. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Lamb]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Icard]]></surname>
<given-names><![CDATA[T. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Miikkulainen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[]]></source>
<year>2015</year>
<conf-name><![CDATA[ 10th international workshop on neural-symbolic learning and reasoning]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fei]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Huo]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Song]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wen]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards artificial general intelligence via a multimodal foundation model]]></article-title>
<source><![CDATA[Nature Communications]]></source>
<year>2022</year>
<volume>13</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lebiere]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Profile: The FMS cognitive modeling group at carnegie mellon university]]></article-title>
<source><![CDATA[The IEEE Intelligent Informatics Bulletin]]></source>
<year>2011</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-3</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Naudé]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Dimitri]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The race for an artificial general intelligence: implications for public policy]]></article-title>
<source><![CDATA[AI and Society]]></source>
<year>2019</year>
<volume>35</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>367-79</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="">
<collab>Ollama</collab>
<source><![CDATA[Large language models repository]]></source>
<year>2024</year>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rayhan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Rayhan]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Rayhan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Artificial general intelligence: Roadmap to achieving human-level capabilities]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shevlin]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[The limits of AGI: Challenges and perspectives]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sonko]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Adewusi]]></surname>
<given-names><![CDATA[A. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Obi]]></surname>
<given-names><![CDATA[O. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Onwusinkwue]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Atadoga]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A critical review towards artificial general intelligence: Challenges, ethical considerations, and the path forward]]></article-title>
<source><![CDATA[World Journal of Advanced Research and Reviews]]></source>
<year>2024</year>
<volume>21</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1262-8</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tong]]></surname>
<given-names><![CDATA[J. C. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Hsu]]></surname>
<given-names><![CDATA[Y. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Liau]]></surname>
<given-names><![CDATA[C. J.]]></given-names>
</name>
</person-group>
<source><![CDATA[An exploring study on building affective artificial intelligence by neural-symbolic computing]]></source>
<year>2024</year>
<volume>3</volume>
<numero>1</numero>
<conf-name><![CDATA[ AAAI Symposium Series]]></conf-name>
<conf-loc> </conf-loc>
<issue>1</issue>
<page-range>592-3</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Voss]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Jovanovic]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Why we don&#8217;t have AGI yet]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yamakawa]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain]]></article-title>
<source><![CDATA[Neural Networks]]></source>
<year>2021</year>
<volume>144</volume>
<page-range>478-95</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
