On social laws for artificial agent societies: off-line design
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
On the emergence of social conventions: modeling, analysis, and simulations
Artificial Intelligence - Special issue on economic principles of multi-agent systems
On stable social laws and qualitative equilibria
Artificial Intelligence
Choosing social laws for multi-agent systems: minimality and simplicity
Artificial Intelligence
Rights and Argumentation in Open Multi-Agent Systems
Artificial Intelligence Review
Efficient learning equilibrium
Artificial Intelligence
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The evolution of artificial social systems
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A graph transformation system model of dynamic reorganization in multi-agent systems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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In this paper we introduce organizations and roles in Shoham and Tennenholtz' artificial social systems, using a normative system. We model how real agents determine the behavior of organizations by playing roles in the organization, and how the organization controls the behavior of agents playing a role in it. We consider the design of an organization in terms of roles and the assignment of agents to roles, and the evolution of organizations. We do not present a complete formalization of the computational problems, but we illustrate our approach by examples.