Please use this identifier to cite or link to this item:
|Title:||Public goods provision: An evolutionary game theoretic study under asymmetric information|
Public goods (PG)
|Source:||Quek, H.-Y., Tan, K.C., Tay, A. (2009-06). Public goods provision: An evolutionary game theoretic study under asymmetric information. IEEE Transactions on Computational Intelligence and AI in Games 1 (2) : 105-120. ScholarBank@NUS Repository. https://doi.org/10.1109/TCIAIG.2009.2018832|
|Abstract:||This paper presents an evolutionary, game theoretic approach to simulate and study the collective outcome of public goods (PG) provisioning in an agent-based model. Using asymmetric information as the basis for decision making, distinct groups are configured to interact in an iterated N player PG game, where coevolutionary learning is used as the adaptation tool to the dynamic environment. Impact of information type, number of players, group size, rate of interaction, number of available choices, nature of PG provision, and selection schemes are studied under a variety of settings. Simulation results reveal interesting dynamics of strategy and usage profiles, level of derived welfare, and the evolution of cooperation. Analysis of simulated attributes offers a more holistic understanding into the nature of collective action and insights of how the effects of social dilemma can be mitigated. This might provide a good guide to achieve efficient PG provision in the practical context. © 2009 IEEE.|
|Source Title:||IEEE Transactions on Computational Intelligence and AI in Games|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 16, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.