Intertwining the social and the cognitive loops: socially enactive cognition for human-compatible interactive systems

Abstract

It is increasingly important for technical systems to be able to interact flexibly, robustly and fluently with humans in real-world scenarios. However, while current AI systems excel at narrow task competencies, they lack crucial interaction abilities for the adaptive and co-constructed social interactions that humans engage in. We argue that a possible avenue to tackle the corresponding computational modelling challenges is to embrace interactive theories of social understanding in humans. We propose the notion of socially enactive cognitive systems that do not rely solely on abstract and (quasi-)complete internal models for separate social perception, reasoning and action. By contrast, socially enactive cognitive agents are supposed to enable a close interlinking of the enactive socio-cognitive processing loops within each agent, and the social-communicative loop between them. We discuss theoretical foundations of this view, identify principles and requirements for according computational approaches, and highlight three examples of our own research that showcase the interaction abilities achievable in this way. This article is part of a discussion meeting issue ‘Face2face: advancing the science of social interaction’.

Face2face: advancing the science of social interaction

“…A very different approach to the challenge of interactive mentalizing is found in the paper from Kahl & Kopp, which reviews the development of artificial agents who can engage in conversation with people [34]. They describe the need for ‘good-enough’ mentalizing systems which can provide a rapid estimate of what another person understands that is sufficient to facilitate conversation, even if it is not perfect.…”