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- W2948927783 abstract "This paper introduces the Contextual Evaluation Model (CEM), a novel method for knowledge representation and manipulation. The CEM differs from existing models in that it integrates facts, patterns and sequences into a single contextual framework. V5, an implementation of the model is presented and demonstrated with multiple annotated examples. The paper includes simulations demonstrating how the model reacts to pleasure/pain stimuli. The 'thought' is defined within the model and examples are given converting thoughts to language, converting language to thoughts and how 'meaning' arises from thoughts. A pattern learning algorithm is described. The algorithm is applied to multiple problems ranging from recognizing a voice to the autonomous learning of a simplified natural language." @default.
- W2948927783 created "2019-06-14" @default.
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- W2948927783 date "2019-05-31" @default.
- W2948927783 modified "2023-09-27" @default.
- W2948927783 title "Representing and Using Knowledge with the Contextual Evaluation Model." @default.
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- W2948927783 doi "https://doi.org/10.13140/rg.2.2.34892.05762" @default.
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