Computer modeling of feelings and emotions: a quantitative neural network model of the feeling-of-knowing

TL;DR

This paper introduces the first quantitative neural network model of feelings and emotions, specifically applied to understanding the feeling of knowing, based on neuroscience and evolutionary biology data.

Contribution

It presents a novel neural network model that distinguishes conscious and unconscious processes in feelings and emotions, advancing computational understanding of these phenomena.

Findings

Model successfully describes feeling of knowing quantitatively

Differentiates conscious and unconscious mental processes

Provides a framework for future emotion modeling

Abstract

The first quantitative neural network model of feelings and emotions is proposed on the base of available data on their neuroscience and evolutionary biology nature, and on a neural network human memory model which admits distinct description of conscious and unconscious mental processes in a time dependent manner. As an example, proposed model is applied to quantitative description of the feeling of knowing.