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Cognitive information processing
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Instead of the counter-concept, “loose or consolidation or high consolidation” we use the meta-concept, “loose-consolidation-high consolidation” to represent the objective–subjective data. | Vietnam J Comput Sci 2014 1 207-218 DOI 10.1007 s4O595-014-0019-4 REGULAR PAPER Cognitive information processing Chi Tran Received 12 December 2013 Accepted 8 March 2014 Published online 30 April 2014 The Author s 2014. This article is published with open access at Springerlink.com Abstract Today under the true or false philosophy we are confined within the syntactic restrictions in connection with the adoption of the counter-concepts binary concepts presented by common words and Boolean numbers concerned with logical reasoning based on binary logic. In contrast truth according to Brouwer and Heyting intuitive logic comes from the future. It according to Lukasiewicz multi-valued logic is neither true nor false. It should be a third option that transcends both i.e. transcends the syntactic restrictions to reach the semantic and pragmatic descriptions of available data. Truth in this case will be formulated in the new form of the meta-concept true-false which is neither true nor false likewise the affirmation and denial idea of the Indian logic. It becomes a cognitive measure used to describe the human cognitive processing. It turned out that we need not only a new term that transcends limits of words and Boolean numbers to describe meta-concepts but also a new approach based on new philosophy logic and mathematics to process cognitive information using both physical and mental data. It refers in this article as denotation computing for determining the relative density of sand using CPT data. Instead of the counter-concept loose or consolidation or high consolidation we use the meta-concept loose-consolidation-high consolidation to represent the objective-subjective data. Their processing is developed for certain types of data structures designed for representing information content including cognitive measures depending on perception of engineers to exceed the syntax limits of binary concepts towards their semantic and pragmatic aspects. It is based on the .