A Cognitive Architecture for the Implementation of Emotions in Computing Systems

TL;DR

This paper introduces NEUCOGAR, a neurobiologically-inspired cognitive architecture that maps neurochemical influences to computing processes, enabling affective phenomena to operate within traditional Von Neumann systems.

Contribution

The paper presents NEUCOGAR, a novel affective cognitive architecture that integrates neurochemical modulation into classical computing models, extending the Lövheim Cube of Emotion.

Findings

Simulation shows dopamine modulation affects computing power and storage.

Model confirms neurochemical influence can be integrated into Von Neumann architecture.

Affective phenomena can be implemented in classical computing systems.

Abstract

In this paper we present a new neurobiologically-inspired affective cognitive architecture: NEUCOGAR (NEUromodulating COGnitive ARchitecture). The objective of NEUCOGAR is the identification of a mapping from the influence of serotonin, dopamine and noradrenaline to the computing processes based on Von Neuman's architecture, in order to implement affective phenomena which can operate on the Turing's machine model. As basis of the modeling we use and extend the L\"ovheim Cube of Emotion with parameters of the Von Neumann architecture. Validation is conducted via simulation on a computing system of dopamine neuromodulation and its effects on the Cortex. In the experimental phase of the project, the increase of computing power and storage redistribution due to emotion stimulus modulated by the dopamine system, confirmed the soundness of the model.