Abstract
This paper presents an artificial, i.e. computer-based, market that models various auctions for emissions permits. A brief analysis of the existing auctions for emission permits provides the motivation for introducing a new type of auction that generalizes known mechanisms. This auction type and its implications are mainly analyzed through the artificial market presented here. The market uses a genetic algorithm that simulates the evolving behavior of bidders. Experimental analysis conforms to game-theoretical results and suggests that the proposed auction is efficient in terms of forcing players to reveal their true valuations.
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© 2009 Springer-Verlag Berlin Heidelberg
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Mourtos, I., Xanthopoulos, S. (2009). An Artificial Market for Emission Permits. In: Koutsojannis, C., Sirmakessis, S. (eds) Tools and Applications with Artificial Intelligence. Studies in Computational Intelligence, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88069-1_6
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DOI: https://doi.org/10.1007/978-3-540-88069-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88068-4
Online ISBN: 978-3-540-88069-1
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