Abstract
Housing prices result from many factors, from government control to individual needs. Yet they seemingly take on a will of their own, booming rather than crashing and so defying all analysis and expectation. We discuss a comprehensive agent-based model of housing prices, in which real data is embedded from a variety of sources. Much of the data is spatial collected from Geographical Information Systems (GIS). The variety of different stakeholders, costs, formats and infrastructure presents considerable challenges in developing a general model. This paper describes the preliminary design work towards such a general model of the way house prices evolve. A number of initial simulations are developed in MATLAB to examine the impact of real-estate agents and fuzzy inference of the vendor's agent on house price evolution.
| Original language | English |
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| Title of host publication | Eighth Australian and New Zealand Intelligent Information Systems Conference(ANZIIS 2003) |
| Editors | C.B. Lovell, A.D. Campbell, B.C. Fookes, Maeder J A Maeder J J A |
| Place of Publication | Brisbane, Australia |
| Publisher | Queensland University of Technology |
| Pages | 1-20 |
| Number of pages | 20 |
| ISBN (Electronic) | 1741070392 |
| Publication status | Published - 2003 |
| Event | Australian and New Zealand Intelligent Information Systems Conference - Sydney, Australia, Australia Duration: 10 Dec 2003 → 12 Dec 2003 |
Conference
| Conference | Australian and New Zealand Intelligent Information Systems Conference |
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| Country/Territory | Australia |
| Period | 10/12/03 → 12/12/03 |