Agent-Based Modelling of House Price Evolution

Terence Bossomaier, Siti Amri, James Thompson

Research output: Book chapter/Published conference paperConference paperpeer-review

5 Citations (Scopus)
35 Downloads (Pure)


Housing price growth is a complex mixture of external factors such as the growth of the economy, unemployment rates and the supply of land. It is also strongly dependent upon buyer and seller perceptions and attitudes, particularly during a boom period. External factors may be captured by a variety of methods, but the emergent price and sale volume resulting from human interactions is a problem in the dynamics of multiple cognitive agents. We describe a RePast model for house price growth using real-world GIS data with a fuzzy logic frameworkfor modelling agent behaviour.
Original languageEnglish
Title of host publicationFirst ALife 07
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)142440701X
Publication statusPublished - 2007
EventIEEE Symposium of Artificial Life (ALife) - Honolulu, Hawaii, New Zealand
Duration: 01 Apr 200705 Apr 2007


ConferenceIEEE Symposium of Artificial Life (ALife)
Country/TerritoryNew Zealand


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