Emotion in Cognitive Architecture: Emergent Properties from Interactions with Human Emotion

TL;DR

This paper explores how emotion can be modeled as emergent properties within a computational cognitive architecture, emphasizing interactions with humans to better represent internal states and processes.

Contribution

It introduces a framework for representing emotion through pleasantness and arousal axes and demonstrates emergent emotional properties via human-agent interaction studies.

Findings

Emotion can be represented as emergent properties in cognitive architectures.

Interaction studies show alignment with human emotional responses.

The approach enhances understanding of internal states in human-agent systems.

Abstract

This document presents endeavors to represent emotion in a computational cognitive architecture. The first part introduces research organizing with two axes of emotional affect: pleasantness and arousal. Following this basic of emotional components, the document discusses an aspect of emergent properties of emotion, showing interaction studies with human users. With these past author's studies, the document concludes that the advantage of the cognitive human-agent interaction approach is in representing human internal states and processes.