Agent-based modeling using XCS in greenhouse gas emissions trading market
Tomohiro Nakada, Keiki Takadama · Society of Instrument and Control Engineers of Japan · 2011
This paper proposes an agent-based modeling using XCS to understand the mechanism of international greenhouse gas emissions trading market. Since this paper focuses on the number of agents, we investigate the market price and the greenhouse gas reduction. The revealed the following remarkable implications: (1) the configuration of agent-based modeling using XCS and the double auction showed a stable market price by more than 30 agents; and (2) the market price and the ratio of greenhouse gas reduction showed big up and down fluctuation by 10 agents.