Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
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
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
SLIC: A Selfish Link-Based Incentive Mechanism for Unstructured Peer-to-Peer Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
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
Emergence of collective behavior in evolving populations of flying agents
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Evolving specialisation, altruism, and group-level optimisation using tags
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
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One way of approaching the engineering of systems with self-* properties is to examine naturally occurring systems that appear to have such properties. One line of work examines biological theories and phenomena. Ideas from the social sciences are less well explored as a possible source of self-* techniques. We briefly overview some recent work that follows this latter approach and consider some specific prospects for future work.