Social translucence: an approach to designing systems that support social processes
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Operationalisation of norms for usage in electronic institutions
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
ARTIMIS: natural dialogue meets rational agency
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A normative multi-agent systems approach to the use of conviviality for digital cities
COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
Artifact-mediated society and social intelligence design
Artificial intelligence
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Concepts, models and theories from the social sciences are studied in multi-agent systems to regulate or control interactions among agents. Examples of social concepts studied in multi-agent systems are societies, coalitions, organizations, institutions, norms, power, and trust [4]. We argue in our thesis that this list should be extended with a social-cognitive concept concerned with agent interaction which is used frequently in the social sciences, and has been discussed in applications of multi-agent systems where artificial and human agents interact like ambient intelligence, social intelligence design, digital cities and virtual communities. This concept is called conviviality.