Volume 60

Research on Dynamic Simulation of Multi-Agent Decision-Making in Passive Housing Based on Evolutionary Game Theory Yingrui Ma, Yanlin Zhang, Weijun Gao, Xindong Wei

Abstract

Passive House is a building standard that minimizes active energy consumption through optimal building
design, the use of high- performance materials and efficient energy systems. However, compared with
traditional housing, passive housing requires a higher upfront investment, which enterprises, local farmers and
other households must bear. Due to differences in the interests of government, enterprises and farmers, a
complex game-theoretical relationship will emerge during the decision-making process. For this reason, this
paper takes an evolutionary game perspective on dynamic simulation of passive housing multi-agent decisionmaking, combining eight decision-making situations. Through constructing a perceived benefit matrix and conducting single-subject and tripartite- subject evolutionary game analyses, it was found that actively
guiding by the government, active participation by enterprises and active cooperation by farmers helps to
realize the construction of passive housing projects under ideal conditions.

Keywords Passive House; Evolutionary Game; Multi-Agent Decision-Making Behavior