On the emergence of social conventions: modeling, analysis, and simulations
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Multiagent learning using a variable learning rate
Artificial Intelligence
Norm Governed Multiagent Systems: The Delegation of Control to Autonomous Agents
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
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A rule-based approach to norm-oriented programming of electronic institutions
ACM SIGecom Exchanges
Emergence of norms through social learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Object view of normatively regulated activities
Proceedings of the 2008 international workshop on Software Engineering in east and south europe
Principles for support of the business processes
WSEAS Transactions on Information Science and Applications
Normatively regulated activities
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Leveraging domain knowledge to learn normative behavior: a bayesian approach
ALA'11 Proceedings of the 11th international conference on Adaptive and Learning Agents
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Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent societies. We have recently used a model that supports the emergence of social norms via learning from interactionb experiences [9]. Each interaction is framed as a stage game. An agent learns a policy to play the game from repeated interactions with multiple agents. We are particularly interested in finding out if the entire population learns to converge to a consistent norm when multiple action combinations yield the same optimal payoff. In this extension, we explore the effects of heterogeneous populations where different agents may be using different learning algorithms. We also investigate norm emergence when an agent is more likely to interact with other agents near by it.