On Incentives and Updating in Agent Based Models
Computational Economics
On the emergence of social conventions: modeling, analysis, and simulations
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Emergence of social conventions in complex networks
Artificial Intelligence
A Social Semantics for Agent Communication Languages
Issues in Agent Communication
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Trust Establishment In Pure Ad-hoc Networks
Wireless Personal Communications: An International Journal
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Norm Emergence in Agent Societies Formed by Dynamically Changing Networks
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Infection-based self-configuration in agent societies
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Norm emergence under constrained interactions in diverse societies
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A few good agents: multi-agent social learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
A Peer-to-Peer Normative System to Achieve Social Order
Coordination, Organizations, Institutions, and Norms in Agent Systems II
Efficient influence maximization in social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for monitoring agent-based normative systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
The effect of social influence and curfews on civil violence
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
A self-organizing spatial vocabulary
Artificial Life
Collective decision-making in multi-agent systems by implicit leadership
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 3 - Volume 3
A probabilistic model for trust and reputation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Changing neighbours: improving tag-based cooperation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Convention emergence through spreading mechanisms
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A multiagent network for peer norm enforcement
Autonomous Agents and Multi-Agent Systems
Robust coordination in large convention spaces
AI Communications - European Workshop on Multi-Agent Systems (EUMAS) 2009
Using experience to generate new regulations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Learning influence in complex social networks
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Coordination in open multi-agent systems (MAS) can reduce costs to agents associated with conflicting goals and actions, allowing artificial societies to attain higher levels of aggregate utility. Techniques for increasing coordination typically involve incorporating notions of conventions, namely socially adopted standards of behaviour, at either an agent or system level. As system designers cannot necessarily create high quality conventions a priori, we require an understanding of how agents can dynamically generate, adopt and adapt conventions during their normal interaction processes. Many open MAS domains, such as peer-to-peer and mobile ad-hoc networks, exhibit properties that restrict the application of the mechanisms that are often used, especially those requiring the incorporation of additional components at an agent or society level. In this paper, we use Influencer Agents (IAs) to manipulate convention emergence, which we define as agents with strategies and goals chosen to aid the emergence of high quality conventions in domains characterised by heterogeneous ownership and uniform levels of agent authority. Using the language coordination problem (Steels in Artif Life 2(3):319---392, 1995), we evaluate the effect of IAs on convention emergence in a population. We show that relatively low proportions of IAs can (i) effectively manipulate the emergence of high-quality conventions, and (ii) increase convention adoption and quality. We make no assumptions involving agent mechanism design or internal architecture beyond the usual assumption of rationality. Our results demonstrate the fragility of convention emergence in the presence of malicious or faulty agents that attempt to propagate low quality conventions, and confirm the importance of social network structure in convention adoption.