NON CLASSICALITY IN MIND

Abstract

Understanding the mechanisms of human decision making is of significant importance to the cognitive science. Today’s motivation on artificial intelligence and machine learning has been focused on more humanoid machines. Classical machine learning algorithms are based on classical logic and probability. However, empirical evidence shows that human decision behavior reveals some non-classical aspects such as context effects, order effects or ambiguity aversion. Electroencephalography (EEG) is a well-known way to obtain and interpret the brain signals for diverse goals. This study presents standard EEG methods to obtain the data, then some methods will be briefly surveyed analyzing non-classical effects by using EEG data.  

Keywords

• EEG methods,Quantum non-locality,Cognitive systems

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