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Big Picture for Everyone: The relationship between the equation model and base vectors for mapping human semantic space.

Mindey


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        <foaf:name>Mindey</foaf:name>
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    <dct:title>Big Picture for Everyone: The relationship between the equation model and base vectors for mapping human semantic space.</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dct:subject rdf:resource="https://en.wikipedia.org/wiki/Equation"/>
    <dct:subject rdf:resource="https://en.wikipedia.org/wiki/Semantics"/>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-09-20</dct:issued>
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    <dct:description>&lt;p&gt;The paper introduces considerations about the categorical&amp;nbsp;relationship between the&amp;nbsp;functional equation model in mathematics and fundamental human question categories in philosophy and linguistics, thinking of them as semantic base vectors: &lt;em&gt;is there a semantic relationship between these basic human questions and the equation model, and if so, then what kind?&lt;/em&gt; We explore this question, and arrive at a qualitative categorical relationship, where broadly F is answered by questions &lt;em&gt;&amp;ldquo;What?&amp;rdquo;, &amp;ldquo;Where?&amp;rdquo;, &amp;ldquo;When?&amp;rdquo;&lt;/em&gt;, the X is answered by &lt;em&gt;&amp;ldquo;Who?&lt;/em&gt;&amp;rdquo; and &lt;em&gt;&amp;ldquo;How?&amp;rdquo;&lt;/em&gt;, and the Y is answered by the question &lt;em&gt;&amp;ldquo;Why?&amp;rdquo;&lt;/em&gt;. The result, while simple, may help us to define the base vectors for mapping human semantic space, and to create intuitions on how to convert human perceptions&amp;nbsp;and conceptions&amp;nbsp;into formal mathematical problems.&lt;/p&gt; &lt;p&gt;The result may be useful for obtaining and retaining simple human-understandability of world&amp;rsquo;s systems and processes; transforming semantic spaces to forms more conducive to human understanding; embedding sets of databases into the space of the semantic vectors by labeling tables, collections and entities with the question categories; creating database indices optimal for human interpretation and application of the equation model for information retrieval, machine learning, machine reasoning and search for actions to achieve goals.&lt;/p&gt;</dct:description>
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