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We are an independent research firm in Paris that works in the intersection of computational logic, category theory, and persistent topology applied to decision practices. Our approach comprises an efficient model to generate belief structure about differing cases that have 'uncertain' information. The direction accompanies a method for realizing a complex means to address various constraints that arise in discourse analysis related to law. This implies a strong connection with natural language processing and the determining of a graphical realization, in lieu of an algorithmic method for identifying semantic change.
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