Technical Note: \cal Q-Learning
Machine Learning
On the characterization of law and computer systems: the normative systems perspective
Deontic logic in computer science
Learning to Be Thoughtless: Social Norms and Individual Computation
Computational Economics
Web-Based Environment for Active Computing Learners
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Simulating norm formation: an operational approach
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Emergence of norms through social learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Interaction, observance or both? Study of the effects on convention emergence
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Role model based mechanism for norm emergence in artificial agent societies
COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
Mechanisms for the self-organization of peer groups in agent societies
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
Multiagent and Grid Systems
Modeling the emergence and convergence of norms
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Emergence of social norms through collective learning in networked agent societies
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Norms have facilitated smoother functioning in human societies. In the field of normative multi-agent systems researchers are interested in investigating how the concept of social norms can be used to facilitate social order in electronic agent societies. In this context, the area of norm emergence has attracted a lot of interest among researchers. The objectives of this paper are two-fold. First, we discuss the norm learning approaches in agent societies and discuss the three aspects of active norm learning (experiential, observational and communication-based learning) in agent societies. Using an example we demonstrate the usefulness of combining these three aspects of norms learning. Second, we investigate the effect of the presence of liars in an agent society on norm emergence. Agents that lie distort truth when they are asked about the norm in an agent society. We show that lying has deleterious effect on norm emergence. In particular, using simulations we identify conditions under which the norms that have emerged in a society can be sustained in the presence of liars.