Pure Reasoning in 12-Month-Old Infants as Probabilistic Inference

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The ability to perform a detailed decision-making approach based on large quantities of parameters and data is at the core of the majority of sciences. Traditionally, all possible scenarios should be considered, and their outcomes assessed via a logical and systematic manner to obtain accurate and applicable methods for knowledge discovery. However, such approach is typically associated with high computational complexity. In this article we discuss some requirements of artificial intuition and present a model of artificial intuition that utilises semantic networks to improve a decision system.

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