- Title
- Multi agent carbon trading incorporating human traits and game theory
- Creator
- Tang, Long; Chetty, Madhu; Lim, Suryani
- Date
- 2011
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157276
- Identifier
- vital:11559
- Identifier
-
https://doi.org/10.1007/978-3-642-24965-5_5
- Identifier
- ISBN:978-3-642-24964-8
- Abstract
- Carbon trading scheme is being established around the world as an instrument in reducing global GHG emission. Being an emerging market, there only a few simple simulation studies related to carbon trading that have been reported. In this paper, we propose a novel carbon trading simulator capable of modeling traits of human traders in carbon markets. The model is driven by the concept of Nash equilibrium within an agent based modeling paradigm. The model is capable of implementing crucial issues such as carbon emissions, Marginal Abatement Cost Curve (MAC), and complex human trading behaviour. Experiments carried out provide insights into interaction between traders’ behaviour and how the interaction affects profitability; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, Vol.7064 (3)
- Publisher
- Springer
- Relation
- 18th International Conference on Neural Information Processing, ICONIP 2011; Shanghai; China; 13th to 17th November 2011; published in Neural Information Processing, (Lecture Notes in Computer Science series) Vol. 7062 (1) p.36-47
- Rights
- Copyright Springer
- Rights
- This metadata is freely available under a CCO license
- Subject
- Carbon emission trading; Game theory; Marginal abatement curve; Multi agent system; Nash equilibrium
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