A Model of Social Dynamics for Social Intelligent Agents

Mascarenhas, Samuel Francisco (INESC-ID, GAIPS) | Marques, Nuno (INESC-ID, GAIPS) | Campos, Joana (INESC-ID, GAIPS) | Paiva, Ana (INESC-ID, GAIPS)

AAAI Conferences 

In this article we describe a general cognitive model of human social behavior that is meant to increase the social intelligence of autonomous intelligent agents in different contexts. Despite the remarkable improvements that have been made on human-agent interaction, agents still have a limited capacity to be aware of the social reality that is present in the human mind and significantly guides human behavior. The model discussed in this paper is a step toward increasing that capacity significantly. Two different case studies are described in which the proposed model is used to better explain and predict human behavior. The first case study is the well known Ultimatum game. The second one is a variation of the “Game of Nines” played by children.

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