How consciousness modifies the motivation of belonging in agents

The motivation to belong and the capacity for social consciousness are key elements of human cognition. This paper presents a computational model that enables an artificial agent to assess its sense of belonging to a group and update this belief based on social feedback.

Features for Developing Agents with a Sense of Belonging

The motivation to belong is a fundamental social and psychological need that influences individuals' well-being and behavior in society. There is currently significant research activity in this field, driven by increasing interest in areas such as social robotics, the Internet of Things (IoT), and complex systems. This article presents a computational model that quantifies a weighted Belonging Score (B) as a function of seven socio-cognitive features: group identity, social interaction, acceptance/rejection, social memory, reciprocity, reputation, and utility.

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