Bilateral Trade and `Small-World' Networks
Computational Economics
Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Emergence of coordination in scale-free networks
Web Intelligence and Agent Systems
Using the small-world model to improve Freenet performance
Computer Networks: The International Journal of Computer and Telecommunications Networking
The hare and the tortoise: the network structure of exploration and exploitation
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Agent compatibility and coalition formation: investigating two interacting negotiation strategies
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
A kernel-oriented model for coalition-formation in general environments: implementation and results
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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The analysis of societies demonstrates the recurrent nature of small world topology in the interactions of elements in such worlds. The small world topology proves to have beneficial properties for system's performance in many cases, however there are also scenarios where the small world topology's properties negatively affect the system's outcome; thus in depth knowledge on the small world weaknesses is needed in order to develop new generations of artificial societies and new models of economic systems. In this paper, a multi-agent system based on request for proposal protocol and coalition formation organisational paradigm is used to analyse properties of small world social networks of agents. Experiments center on nodes in the network with high betweenness and in particular the distribution of agents in the population across these nodes. Results show that small world topology scenarios lose their beneficial properties when non-competitive agents are positioned as high betweeness nodes in the network.