"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty

08/08/2019
by   Jesse Hoey, et al.
0

The presence of artificial agents in human social networks is growing. From chatbots to robots, human experience in the developed world is moving towards a socio-technical system in which agents can be technological or biological, with increasingly blurred distinctions between. Given that emotion is a key element of human interaction, enabling artificial agents with the ability to reason about affect is a key stepping stone towards a future in which technological agents and humans can work together. This paper presents work on building intelligent computational agents that integrate both emotion and cognition. These agents are grounded in the well-established social-psychological Bayesian Affect Control Theory (BayesAct). The core idea of BayesAct is that humans are motivated in their social interactions by affective alignment: they strive for their social experiences to be coherent at a deep, emotional level with their sense of identity and general world views as constructed through culturally shared symbols. This affective alignment creates cohesive bonds between group members, and is instrumental for collaborations to solidify as relational group commitments. BayesAct agents are motivated in their social interactions by a combination of affective alignment and decision theoretic reasoning, trading the two off as a function of the uncertainty or unpredictability of the situation. This paper provides a high-level view of dual process theories and advances BayesAct as a plausible, computationally tractable model based in social-psychological and sociological theory. We introduce a revised BayesAct model that more deeply integrates social-psychological theorising, and we demonstrate a key component of the model as being sufficient to account for cognitive biases about fairness, dissonance and conformity. We close with ethical and philosophical discussion.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/30/2023

Group Dynamics: Survey of Existing Multimodal Models and Considerations for Social Mediation

Social mediator robots facilitate human-human interactions by producing ...
research
06/22/2013

Affect Control Processes: Intelligent Affective Interaction using a Partially Observable Markov Decision Process

This paper describes a novel method for building affectively intelligent...
research
08/22/2023

Is There Any Social Principle for LLM-Based Agents?

Focus on Large Language Model based agents should involve more than "hum...
research
03/02/2021

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception

The ability to perceive and reason about social interactions in the cont...
research
03/07/2020

Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory

State-of-the-art neural dialogue systems excel at syntactic and semantic...
research
12/19/2017

MovieGraphs: Towards Understanding Human-Centric Situations from Videos

There is growing interest in artificial intelligence to build socially i...
research
10/15/2021

Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?

We present an investigation into how representational losses can affect ...

Please sign up or login with your details

Forgot password? Click here to reset