Artificial Intelligence techniques based on the integration of symbolic logic and deep neural networks : A systematic review of the literature

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<title>Artificial Intelligence techniques based on the integration of symbolic logic and deep neural networks</title>
<subTitle>: A systematic review of the literature</subTitle>
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<namePart>Negro, Pablo</namePart>
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<namePart>Pons, Claudia</namePart>
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<abstract displayLabel="Summary">The need for neural-symbolic integration becomes apparent as more complex problems are tackled, and they go beyond limited domain tasks such as classification. In this sense, understanding the state of the art of hybrid technologies based on Deep Learning and augmented with logic based systems, is of utmost importance. As a consequence, we seek to understand and represent the current state of these technologies that are highly used in intelligent systems engineering.
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<accessCondition type="use and reproduction">La copia digital se distribuye bajo licencia "Attribution 4.0 International (CC BY NC 4.0)"</accessCondition>
<note type="statement of responsibility">Pablo Negro, Claudia Pons</note>
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<topic>Inteligencia artificial</topic>
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<topic>Evolución tecnológica</topic>
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<title>Revista Iberoamericana de Inteligencia Artificial</title>
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<publisher> : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-</publisher>
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<identifier type="issn">1988-3064</identifier>
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<text>02/05/2022 Volumen 25 Número 69 - mayo 2022 , p. 13-41</text>
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