Agent-Based Modeling and Genetic Algorithm Simulation for the Climate Game Problem

The cooperative game of global temperature lacks automaticity and emotional jamming. To solve this issue, an agent-based modelling method is developed based on Milinski’s noncooperative game experiments. In addition, genetic algorithm is used to improve the investment strategy of each agent. Simulat...

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Published in:Mathematical Problems in Engineering Vol. 2012; no. 2012; pp. 1204 - 1217-476
Main Authors: Wang, Zheng, Zhang, Jingling
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Limiteds 01.01.2012
Hindawi Publishing Corporation
John Wiley & Sons, Inc
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ISSN:1024-123X, 1563-5147
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Abstract The cooperative game of global temperature lacks automaticity and emotional jamming. To solve this issue, an agent-based modelling method is developed based on Milinski’s noncooperative game experiments. In addition, genetic algorithm is used to improve the investment strategy of each agent. Simulations are carried out by designing different coding schemes, mutation schemes, and fitness functions. It is demonstrated that the method can achieve maximum benefits under the premise of the agent non-cooperative game through encouraging optimal individuals. The results provide a sound basis for developing tools and methods to support the simulation of climate game strategy that involves multiple stakeholders.
AbstractList The cooperative game of global temperature lacks automaticity and emotional jamming. To solve this issue, an agent-based modelling method is developed based on Milinski's noncooperative game experiments. In addition, genetic algorithm is used to improve the investment strategy of each agent. Simulations are carried out by designing different coding schemes, mutation schemes, and fitness functions. It is demonstrated that the method can achieve maximum benefits under the premise of the agent non-cooperative game through encouraging optimal individuals. The results provide a sound basis for developing tools and methods to support the simulation of climate game strategy that involves multiple stakeholders.
Author Wang, Zheng
Zhang, Jingling
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ContentType Journal Article
Copyright Copyright © 2012 Zheng Wang and Jingling Zhang.
Copyright © 2012 Zheng Wang and Jingling Zhang. Zheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright_xml – notice: Copyright © 2012 Zheng Wang and Jingling Zhang.
– notice: Copyright © 2012 Zheng Wang and Jingling Zhang. Zheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Snippet The cooperative game of global temperature lacks automaticity and emotional jamming. To solve this issue, an agent-based modelling method is developed based on...
The cooperative game of global temperature lacks automaticity and emotional jamming. To solve this issue, an agent‐based modelling method is developed based on...
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SubjectTerms Agent-based models
Climate change
Climate models
Economic models
Environmental protection
Game theory
Games
Genetic algorithms
Investment strategy
Jamming
Mathematical problems
Reagents
Simulation
Studies
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Title Agent-Based Modeling and Genetic Algorithm Simulation for the Climate Game Problem
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https://dx.doi.org/10.1155/2012/709473
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Volume 2012
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