Abstract
In this work, the housing market is modeled as an adaptive complex system using the multi-agent based modeling approach. By modeling the behavior of the agents who participate in the housing market, study will be made of the dynamics and evolution of housing markets in Lugano and surrounding towns, and the related segregation effects due to different ethnic compositions of neighborhoods. The paper explains the approach we have used in order to model the individual behavior of agents (buyers and sellers), as well as to handle the uncertainty and vagueness of agents’ behaviors, beliefs and decision-making by means of fuzzy type-2 systems. Using type-2 fuzzy rule based systems; we have designed and implemented individual agents with personal behavior and decision-making processes. We present some of the results obtained using the approach proposed.
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Alonso W (1964) Location and land use. Harvard University Press, Cambridge
Arthur B (2006) Out-of-equilibrium economics and agent-based modeling. In: Judd KL, Tesfatsion L (eds) Handbook of computational economics, vol 2, Agent-based computational economics. Elsevier B.V., Burlington, pp 1551–1564
Atterhog M, United Nations Economic and Social Commission for Asia and the Pacific (1995) Municipal land management in Asia: a comparative study. United Nations, New York
Beechey M (2000) The efficient market hypothesis: a survey. Reserve Bank of Australia, Sydney
Berrens RP, McKee M (2004) What price nondisclosure? The effects of nondisclosure of real estate sales prices. Soc Sci Q 85(2):509–520
Borio C, Kennedy N, Prowse SD (1994) Exploring aggregate asset price fluctuations across countries. BIS economic papers, no 40, Basle
Brock WA, Durlauf SN (2005) Social interactions and macroeconomics. University of Winsconsin, Madison, Working paper
Case B, Goetzmann WN, Wachter SM (1997) The global commercial property market cycles: a comparison across property types. In: 1997 AREUEA international real estate conference, University of California, Berkeley
Castillo O, Melin P (2008) Type-2 fuzzy logic: theory and applications. Springer, Berlin
Castillo O, Melin P (2004) Adaptive noise cancellation using type-2 fuzzy logic and neural networks. In: Proceedings of IEEE FUZZ conference, Budapest, pp 1093–1098
Clark W, Huang Y (2003) The life course and residential mobility in British housing markets. Environ Plan A 35:323–339
Clark W, Onaka J (1983) Life cycle and housing adjustment as explanations of residential mobility. Urban Studies 20:47–57
Corgel JB, Smith HC, Ling DC (1998) Real estate perspectives: an introduction to real estate. McGraw-Hill, Boston
Cranor LF, Resnick P (2000) Protocols for automated negotiations with buyer anonymity and seller reputations. Netnomics 2:1–23
DaVanzo J (1981) Repeat migration, information cost, and location-specific capital. Popul Environ 4(1):45–73
Deitz R (1998) A joint model of residential and employment location in urban areas. J Urban Econ 44(2):197–215
Doctor F, Hagras H, Callaghan V (2005) A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments. Inf Sci 171:309–334
Egenter E, Lux T, Stauffer D (1999) Finite-size effects in Monte-Carlo simulations of two stock market models. Physica A 268:250–256
Evans AW (1995) The property market: ninety per cent efficient. Urban Stud 32:5–30
Fama EF (1991) Efficient capital market. J Finance 46(5):1575–1617
Fama EF (1970) Efficient capital markets: a review of theory and empirical work. J Finance 25:383–417
Garibaldi JM, Ozen T (2007) Uncertain fuzzy reasoning: a case study in modeling expert decision making. IEEE Trans Fuzzy Syst 15(1):16–30
Gigerenzer G, Goldstein DG (1996) Reasoning the fast and frugal way: models of bounded rationality. Psychol Rev 103(4):650–669
Goodman JL (1981) Information, uncertainty, and the microeconomic model of migration decision making. In: DeJong GF, Gardner RW (eds) Migration decision making: multidisciplinary approaches to microlevel studies in developed and developing countries. Pergamon, New York, pp 13–58
Grimm VB, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J et al (2006) A standard protocol for describing individual-based and agent-based models. Ecol Model 198:115–126
Grimm V, Berger U, DeAngelis DL, Polhill JG, Giske J, Railsback SF (2010) The ODD protocol for describing individual-based and agent-based models: a first update. UFZ, Helmholtz Centre for Environmental Research – UFZ, Department of Ecological Modelling, Leipzig
Grøtan V, Sæther BE, Engen S, van Balen J, Perdeck A, Visser ME (2009) Spatial and temporal variation in the relative contribution of density dependence, climate variation and migration to fluctuations in the size of great tit populations. J Anim Ecol 78:447–459
Hagras H (2004) A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots. IEEE Trans Fuzzy Syst 12(4):524–539
Herrin WE, Kern CR (1992) Testing the standard urban model of residential choice – an implicit markets approach. J Urban Econ 31(2):145–163
Muth JF (1961) Rational expectations and the theory of price movements. Econometrica 29:315–335
Jennings NR, Faratin P, Lomuscio AR, Parsons S, Sierra C, Wooldridge M (2001) Automated negotiation: prospects, methods, and challenges. Int J Group Decis Negot 10:199–215
Kan K (2007) Residential mobility and social capital. J Urban Econ 61(3):436–457
Kano N, Seraku N, Takahashi F, Tsuji S (1984) Attractive quality and must-be quality. J Jpn Soc Qual Control 14:39–48
Karnik NN, Mendel JM (2001) Operations on type-2 fuzzy sets. Fuzzy Sets Syst 122:327–348
Katzner D (1989) The Walrasian vision of the microeconomy: an elementary exposition of the structure. University of Michigan Press, Ann Arbor
Kirman AP (1992) Whom or what does the representative individual represent. J Econ Perspect 6(2):117–136
Kulr GJ, Yuan YB (1995) Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall PTR, Upper Saddle River
Kummerow M, Lun JC (2005) Information and communication technology in the real estate industry: productivity, industry structure and market efficiency. Telecomm Policy 29:173–190
Lee CH, Lin YC, Lai WY (2003) Systems identification using type-2 fuzzy neural network (Type-2 FNN) systems. In: IEEE international symposium on computational intelligence in robotics and automation, Vol. 3. Kobe, pp 1264–1269
Lo AW (1997) Market efficiency: stock market behaviour in theory and practice, vol I. An Elgar Reference Collection, Cheltenham, pp xii–xiii
Louviere J, Timmermans H (1990) Hierarchical information integration applied to residential choice behavior. Geogr Anal 22(2):127–144
Maier G, Herath S (2009) Real estate market efficiency: a survey of literature. Research Institute for Spatial and Real Estate Economics, Wien
Malkiel BG (1996) A random walk down wall street. W.W. Norton, New York
Malpezzi S, Wachter SM (2005) The role of speculation in real estate cycles. J Real Estate Lit 13:143–164
Manski CF (2000) Economic analysis of social interactions. J Econ Perspect 14(3):115–136
Mendel JM (2001) Uncertain rule-based fuzzy logic systems: introduction and new directions. Prentice-Hall, Upper-Saddle River
Mendel JM, John RI (2002) Type-2 fuzzy sets made simple. IEEE Trans Fuzzy Sets 10(2):117–127
Oliver RL (1980) A cognitive model of the antecedents and consequences of satisfaction decisions. J Mark Res 17(4):640–649
Ozen T, Garibaldi JM (2003) Investigating adaptation in type-2 fuzzy logic systems applied to umbilical acid-base assessment. In: Proceedings of the 2003 European symposium on intelligent technologies, Oulu, pp 289–294
Phipps AG, Carter JE (1984) An individual-level analysis of the stress-resistance model of household mobility. Geogr Anal 16(1):176–189
Portugali J, Benenson I, Omer J (1994) Socio-spatial residential dynamics: stability and instability within a self-organized city. Geogr Anal 26(4):321–340
Rossi PH (1955) Why families move: a study in the social psychology of urban residential mobility. Free Press, New York
Samuelson P (1965) Proof that properly anticipated prices fluctuate randomly. Ind Manag Rev 6:41–49
Schachter J (2001) Why people move: exploring the March 2000 current population survey. U.S. Census Bureau, Washington, DC
Schweitzer F (2009) Economic networks: what do we know and what do we need to know? ACS: Adv Complex Syst 12(4):407–422
Simon HA (1982) Models of bounded rationality. MIT Press, Cambridge
Simon HA (1987) Rationality in psychology and economics. In: Reder MW (ed) Rational choice: the contrast between economics and psychology. University of Chicago Press, Chicago
Speare A (1974) Residential satisfaction as an intervening variable in residential mobility. Demography 11:173–188
Speare A, Goldstein S, Frey WH (1975) Residential mobility, migration and metropolitan change. Ballinger, Cambridge
Takayama A (1985) Mathematical economics, 2nd edn. Cambridge University Press, Cambridge, UK
Tesfatsion L (2006) Agent-based computational economics: a constructive approach to economic theory. In: Tesfatsion L, Judd KL (eds) Handbook of computational economics, vol 2, Agent-based computational economics. Elsevier B.V., Burlington, pp 831–880
Torrens PM (2000) How cellular models of urban systems work. CASA working paper 28, University College London, London
van Ommeren JP, Nijkamp P (1996) Residence and workplace relocation: a bivariate duration model approach. Geogr Anal 28(4):315–329
Veldhuisen J, Timmermans H (1984) Specification of individual residential utility function: a comparative analysis of three measurement procedures. Environ Plan A 16:1573–1582
Ward M (2005) The role of immigration in the decline of an isolated migratory bird population. Conserv Biol 19:1528–1536
Wheaton WC (1999) Real estate cycles: some fundamentals. Real Estate Econ 27(2):209–230
Wu D, Mendel JM (2008) Aggregation using the linguistic weighted average and interval type-2 fuzzy sets. IEEE Trans Fuzzy Syst 16(6):1664–1666
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Esmaeili, M., Vancheri, A., Giordano, P. (2013). Modeling Housing Market Dynamics Using a Multi-agent Simulation of Participants’ Cognitive Behavior. In: Diappi, L. (eds) Emergent Phenomena in Housing Markets. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2864-1_3
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