Influence of Neighborhood and Reorganization in Networked Agent Simulation Udara C. Weerakoon and Vicki H. Allan Utah State University. Coalition formation in a network of agents Nodes - agents Edges - " can work with" relationships No centralized control
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Influence of Neighborhood and Reorganization in Networked Agent Simulation
Udara C. Weerakoon and Vicki H. Allan Utah State University
Fig. 3. Profit Vs. Agent Connections.
Initial profit is negative for all agents
Communication cost is a burden on the profit of hedging agents
Fig. 1.Uncommitted agentsTask-executing agents
Fig. 5. Performance-rate Vs. Time (with reorganization).
Reorganization increases performance initially
Egalitarian reorganization outperforms intelligent reorganization
The higher number of isolated agents in inventory and performance reorganization reduces the performance-rate of the agent society
Fig. 2. Performance-rate Vs. Agent Connections.
The maximum performance-rate of random agents (MPRA) is 30% (30% of introduced tasks can be completed)
Strategic agents require ten connections to achieve MPRA
Hedging agents require five connections to achieve MPRA and ten connections to outperforms strategic agents
This material is based in part upon work supported by the National Science Foundation under grant number 0812039
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