Schuster, Stephan (2010): Network Formation with Adaptive Agents.
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In this paper, a reinforcement learning version of the connections game first analysed by Jackson and Wolinsky is presented and compared with benchmark results of fully informed and rational players. Using an agent-based simulation approach, the main nding is that the pattern of reinforcement learning process is similar, but does not fully converge to the benchmark results. Before these optimal results can be discovered in a learning process, agents often get locked in a state of random switching or early lock-in.
|Item Type:||MPRA Paper|
|Original Title:||Network Formation with Adaptive Agents|
|Keywords:||agent-based computational economics; strategic network formation; network games; reinforcement learning|
|Subjects:||C - Mathematical and Quantitative Methods > C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling > C63 - Computational Techniques; Simulation Modeling
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D85 - Network Formation and Analysis: Theory
|Depositing User:||Stephan Schuster|
|Date Deposited:||15. Dec 2010 01:20|
|Last Modified:||16. Feb 2013 12:22|
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