Cooperation without memory or space: tags, groups and the prisoner's dilemma
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Agent-Based Computing: Promise and Perils
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Evolving specialisation, altruism, and group-level optimisation using tags
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
From Selfish Nodes to Cooperative Networks " Emergent Link-Based Incentives in Peer-to-Peer Networks
P2P '04 Proceedings of the Fourth International Conference on Peer-to-Peer Computing
Using tags to evolve trust and cooperation between groups
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Effective tag mechanisms for evolving coordination
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Tags and image scoring for robust cooperation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Effective tag mechanisms for evolving cooperation
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Cooperation through reciprocity in multiagent systems: an evolutionary analysis
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Change your tags fast! - a necessary condition for cooperation?
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Using the experimental method to produce reliable self-organised systems
Engineering Self-Organising Systems
Self-organising, open and cooperative p2p societies – from tags to networks
Engineering Self-Organising Systems
The effects of evolved sociability in a commons dilemma
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
The success and failure of tag-mediated evolution of cooperation
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
AP2PC'08 Proceedings of the 7th international conference on Agents and Peer-to-Peer Computing
Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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Endowing agents with "social rationality" [10, 12, 11] can aid overall efficiency in tasks where cooperation is beneficial to system level performance. However it is difficult to maintain this beneficial effect in open and unpredictable systems. Such systems seem to require a "bespoke" (that is, a new) design for cooperation in each domain. Recent work in artificial life and biological sciences has identified novel "tag" mechanisms for the spontaneous self-organization of group level adaptations in populations of autonomous agents [2, 3, 13, 16]. We summarize these findings and identify a key application (in MAS) to which these mechanisms may be fruitfully applied. An intriguing aspect of these mechanisms is that (in certain circumstances) there is a negative scaling cost - that is, the more agents in a system the better and more quickly organized they become. Also, since the process is driven by individual (bounded) optimization, agents retain a high degree of autonomy but still evolve behaviors that are socially rational even in open systems. Initial results indicate that the harnessing of such a process in MAS may be a viable alternative to the engineering of specific cooperation mechanisms and group structures.