Simulation of Human and Artificial Emotion (SHArE)

TL;DR

SHArE presents a versatile framework for simulating human and artificial emotions by linking psychological, neuroscientific, and AI parameters, enabling emotional modeling and potential therapeutic and AI applications.

Contribution

It introduces a unified architecture for emotion simulation applicable to both human mental health and artificial neural networks.

Findings

Framework bridges psychology, neuroscience, and AI for emotion modeling

Enables emotional trajectory design for mental health therapies

Provides a notation for observing machine emotions

Abstract

The framework for Simulation of Human and Artificial Emotion (SHArE) describes the architecture of emotion in terms of parameters transferable between psychology, neuroscience, and artificial intelligence. These parameters can be defined as abstract concepts or granularized down to the voltage levels of individual neurons. This model enables emotional trajectory design for humans which may lead to novel therapeutic solutions for various mental health concerns. For artificial intelligence, this work provides a compact notation which can be applied to neural networks as a means to observe the emotions and motivations of machines.