Please note: This PhD seminar will take place in DC 2314 and virtually over Zoom.
Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Social interactions are a part of day-to-day life of most human beings. Affect, decision-making and behavior are central to it. With increase in adaptation of technology in our society, interaction between humans and artificially intelligent agents is also increasing. Large-scale brain-inspired neural models have been equipped with capabilities to fulfil a variety of tasks, but there has been relatively limited focus on making them capable of handling social interaction.
In this paper, NeuroACT, a neural computational model and implementation of a sociopsychological theory called Affect Control Theory (ACT) is presented. This is towards building an emotionally intelligent AI agent, that can handle interactions. It takes as input a continuous affective interpretation of a perceived event, consisting of an actor, behavior and an object and generates post-event predictions of the next optimal behavior to minimize deflection. The aim is to model the role of affect guiding decision-making in AI agents, resulting in interactions that are similar to human interactions, while inhibiting some behaviors based on the social context.
To attend this PhD seminar in person, please go to DC 2314. You can also attend virtually using Zoom at https://us04web.zoom.us/j/9456245150?pwd=a2t6K3BuUEkzSk10WUlhTldNaXoxdz09.
200 University Avenue West
Waterloo, ON N2L 3G1