IDEAS home Printed from https://ideas.repec.org/h/spr/dymchp/978-3-319-12805-4_14.html
   My bibliography  Save this book chapter

Spatial Interactions in Agent-Based Modeling

In: Complexity and Geographical Economics

Author

Listed:
  • Marcel Ausloos

    (Rés. Beauvallon
    eHumanities Group, Royal Netherlands Academy of Arts and Sciences)

  • Herbert Dawid

    (Bielefeld University)

  • Ugo Merlone

    (Università di Torino)

Abstract

Agent Based Modeling (ABM) has become a widespread approach to model complex interactions. In this chapter after briefly summarizing some features of ABM the different approaches in modeling spatial interactions are discussed.It is stressed that agents can interact either indirectly through a shared environment and/or directly with each other. In such an approach, higher-order variables such as commodity prices, population dynamics or even institutions, are not exogenously specified but instead are seen as the results of interactions. It is highlighted in the chapter that the understanding of patterns emerging from such spatial interaction between agents is a key problem as much as their description through analytical or simulation means.The chapter reviews different approaches for modeling agents’ behavior, taking into account either explicit spatial (lattice based) structures or networks. Some emphasis is placed on recent ABM as applied to the description of the dynamics of the geographical distribution of economic activities—out of equilibrium. The Eurace@Unibi Model, an agent-based macroeconomic model with spatial structure, is used to illustrate the potential of such an approach for spatial policy analysis.

Suggested Citation

  • Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    • Handle: RePEc:spr:dymchp:978-3-319-12805-4_14
    DOI: 10.1007/978-3-319-12805-4_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad & Sahrbacher, Christoph, 2008. "Does structure matter? The impact of switching the agricultural policy regime on farm structures," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 431-444, August.
    2. Pietro Terna, 2009. "The epidemic of innovation - playing around with an agent-based model," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(7), pages 707-728.
    3. Conrad Power, 2009. "A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-8.
    4. Arianna Dal Forno & Ugo Merlone, 2002. "A Multi-Agent Simulation Platform for Modeling Perfectly Rational and Bounded-Rational Agents in a Firm," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(2), pages 1-3.
    5. Sarah Wolf & Steffen Fürst & Antoine Mandel & Wiebke Lass & Daniel Lincke & Federico Pablo-Marti & Carlo Jaeger, 2013. "A multi-agent model of several economic regions," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-00825217, HAL.
    6. Miśkiewicz, J. & Ausloos, M., 2004. "A logistic map approach to economic cycles. (I). The best adapted companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(1), pages 206-214.
    7. Ugo Merlone & Daren R. Sandbank & Ferenc Szidarovszky, 2012. "Systematic Approach Ton-Person Social Dilemma Games: Classification And Analysis," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 1-25.
    8. Vega-Redondo,Fernando, 2007. "Complex Social Networks," Cambridge Books, Cambridge University Press, number 9780521857406.
    9. Koen Frenken & Luigi Marengo & Marco Valente, 1999. "Interdependencies, nearly-decomposability and adaption," CEEL Working Papers 9903, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    10. Christopher S. Fowler, 2011. "Finding equilibrium: how important is general equilibrium to the results of geographical economics?," Journal of Economic Geography, Oxford University Press, vol. 11(3), pages 457-480, May.
    11. Herbert Dawid & Simon Gemkow & Philipp Harting & Michael Neugart, 2013. "Labor Market Integration Policies and The Convergence of Regions: The Role of Skills and Technology Diffusion," Economic Complexity and Evolution, in: Guido Buenstorf & Uwe Cantner & Horst Hanusch & Michael Hutter & Hans-Walter Lorenz & Fritz Rahmeyer (ed.), The Two Sides of Innovation, edition 127, pages 167-186, Springer.
    12. Rotundo, G. & Ausloos, M., 2007. "Microeconomic co-evolution model for financial technical analysis signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 569-585.
    13. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    14. Josep M. Pujol & Andreas Flache & Jordi Delgado & Ramon Sangüesa, 2005. "How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-12.
    15. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871.
    16. Jung-Hun Yang & Dick Ettema, 2012. "Modelling the Emergence of Spatial Patterns of Economic Activity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(4), pages 1-6.
    17. Anne Bretagnolle & Denise Pumain, 2010. "Simulating Urban Networks through Multiscalar Space-Time Dynamics: Europe and the United States, 17th-20th Centuries," Urban Studies, Urban Studies Journal Limited, vol. 47(13), pages 2819-2839, November.
    18. Gregory M. Spencer, 2012. "Creative economies of scale: an agent-based model of creativity and agglomeration," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 247-271, January.
    19. Dawid Herbert & Gemkow Simon & Harting Philipp & Kabus Kordian & Wersching Klaus & Neugart Michael, 2008. "Skills, Innovation, and Growth: An Agent-Based Policy Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 251-275, April.
    20. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    21. Ausloos, Marcel & Pe¸kalski, Andrzej, 2007. "Model of wealth and goods dynamics in a closed market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 560-568.
    22. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    23. Elinor Ostrom, 2000. "Collective Action and the Evolution of Social Norms," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 137-158, Summer.
    24. Arianna Dal Forno & Ugo Merlone, 2004. "Modular Pyramidal Hierarchies And Social Norms. An Agent Based Model," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 12, pages 244-255, World Scientific Publishing Co. Pte. Ltd..
    25. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    26. Ausloos, Marcel & Clippe, Paulette & Pȩkalski, Andrzej, 2003. "Simple model for the dynamics of correlations in the evolution of economic entities under varying economic conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 330-337.
    27. Herbert Dawid & Simon Gemkow & Philipp Harting & Michael Neugart, 2009. "On the Effects of Skill Upgrading in the Presence of Spatial Labor Market Frictions: An Agent-Based Analysis of Spatial Policy Design," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-5.
    28. Roy Cerqueti & Giulia Rotundo, 2008. "Dynamics of Financial Time Series in an Inhomogeneous Aggregation Framework," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods in Insurance and Finance, pages 67-74, Springer.
    29. R. Ochrombel, 2001. "Simulation Of Sznajd Sociophysics Model With Convincing Single Opinions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 12(07), pages 1091-1091.
    30. Arianna Dal Forno & Ugo Merlone, 2014. "Leaders emergence in artificial populations: the role of networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1853-1865, July.
    31. Lynne Hamill & Nigel Gilbert, 2009. "Social Circles: A Simple Structure for Agent-Based Social Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-3.
    32. Gian Italo Bischi & Carl Chiarella & Iryna Sushko (ed.), 2013. "Global Analysis of Dynamic Models in Economics and Finance," Springer Books, Springer, edition 127, number 978-3-642-29503-4, September.
    33. Ausloos, Marcel & Clippe, Paulette & Miśkiewicz, Janusz & Pe¸kalski, Andrzej, 2004. "A (reactive) lattice-gas approach to economic cycles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 1-7.
    34. Ugo Merlone & Michele Sonnessa & Pietro Terna, 2008. "Horizontal and Vertical Multiple Implementations in a Model of Industrial Districts," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-5.
    35. Ausloos, M & Clippe, P & Pekalski, A, 2004. "Model of macroeconomic evolution in stable regionally dependent economic fields," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 269-287.
    36. Caram, L.F. & Caiafa, C.F. & Proto, A.N. & Ausloos, M., 2010. "Dynamic peer-to-peer competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2628-2636.
    37. Riccardo Boero & Giangiacomo Bravo & Marco Castellani & Flaminio Squazzoni, 2010. "Why Bother with What Others Tell You? An Experimental Data-Driven Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-6.
    38. Vega-Redondo,Fernando, 2007. "Complex Social Networks," Cambridge Books, Cambridge University Press, number 9780521674096.
    39. Henriëtte S. Otter & Anne van der Veen & Huib J. de Vriend, 2001. "ABLOoM: Location Behaviour, Spatial Patterns, and Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(4), pages 1-2.
    40. Ugo Merlone & Daren Sandbank & Ferenc Szidarovszky, 2013. "Equilibria analysis in social dilemma games with Skinnerian agents," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 12(2), pages 219-233, November.
    41. Ausloos, M., 2000. "Gas-kinetic theory and Boltzmann equation of share price within an equilibrium market hypothesis and ad hoc strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 284(1), pages 385-392.
    42. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
    43. Jung-Hun Yang & Dick Ettema & Koen Frenken, 2012. "Modelling the emergence of spatial patterns of economic activity," Papers 1204.6638, arXiv.org.
    44. Ausloos, Marcel & Clippe, Paulette & Pȩkalski, Andrzej, 2004. "Evolution of economic entities under heterogeneous political/environmental conditions within a Bak–Sneppen-like dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 332(C), pages 394-402.
    45. Giulia Rotundo & Andrea Scozzari, 2009. "Co-Evolutive Models for Firms Dynamics," Lecture Notes in Economics and Mathematical Systems, in: Ahmad K. Naimzada & Silvana Stefani & Anna Torriero (ed.), Networks, Topology and Dynamics, pages 143-158, Springer.
    46. A. O. Sousa & K. Malarz & S. Galam, 2005. "Reshuffling Spins With Short Range Interactions: When Sociophysics Produces Physical Results," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(10), pages 1507-1517.
    47. Christopher S. Fowler, 2007. "Taking geographical economics out of equilibrium: implications for theory and policy," Journal of Economic Geography, Oxford University Press, vol. 7(3), pages 265-284, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    2. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    3. Vygintas Gontis & Shlomo Havlin & Aleksejus Kononovicius & Boris Podobnik & H. Eugene Stanley, 2015. "Stochastic model of financial markets reproducing scaling and memory in volatility return intervals," Papers 1507.05203, arXiv.org, revised Oct 2016.
    4. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    5. Gontis, V. & Havlin, S. & Kononovicius, A. & Podobnik, B. & Stanley, H.E., 2016. "Stochastic model of financial markets reproducing scaling and memory in volatility return intervals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1091-1102.
    6. Mirjam Schindler & Geoffrey Caruso, 2020. "Emerging urban form – Emerging pollution: Modelling endogenous health and environmental effects of traffic on residential choice," Environment and Planning B, , vol. 47(3), pages 437-456, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    2. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Marcel Ausloos, 2013. "Econophysics: Comments on a Few Applications, Successes, Methods and Models," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 101-115, July.
    4. Marcel Ausloos, 2014. "A biased view of a few possible components when reflecting on the present decade financial and economic crisis," Papers 1412.0127, arXiv.org.
    5. Redelico, Francisco O. & Proto, Araceli N. & Ausloos, Marcel, 2008. "Power law for the duration of recession and prosperity in Latin American countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(25), pages 6330-6336.
    6. Miśkiewicz, Janusz & Ausloos, M., 2007. "Delayed information flow effect in economy systems. An ACP model study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 179-186.
    7. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2019. "What if supply-side policies are not enough? The perverse interaction of flexibility and austerity," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 360-388.
    8. Dosi, Giovanni & Roventini, Andrea & Russo, Emanuele, 2019. "Endogenous growth and global divergence in a multi-country agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 101-129.
    9. Ausloos, Marcel & Miśkiewicz, Janusz & Sanglier, Michèle, 2004. "The durations of recession and prosperity: does their distribution follow a power or an exponential law?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(3), pages 548-558.
    10. repec:hal:spmain:info:hdl:2441/46k9rkvut99i7qnn4vqm25t53b is not listed on IDEAS
    11. Miśkiewicz, Janusz, 2012. "Economy with the time delay of information flow—The stock market case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1388-1394.
    12. repec:hal:spmain:info:hdl:2441/3ii0pf6a4b8o4ovgol0f0kd8f3 is not listed on IDEAS
    13. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Working Papers hal-03459264, HAL.
    14. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    15. Ugo Merlone & Daren Sandbank & Ferenc Szidarovszky, 2013. "Equilibria analysis in social dilemma games with Skinnerian agents," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 12(2), pages 219-233, November.
    16. Chakrabarti, Anindya S., 2015. "Stochastic Lotka-Volterra equations: A model of lagged diffusion of technology in an interconnected world," IIMA Working Papers WP2015-08-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    17. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2021. "Public policies and the art of catching up: matching the historical evidence with a multicountry agent-based model [Catching up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 1011-1036.
    18. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2017. "When more flexibility yields more fragility: The microfoundations of Keynesian aggregate unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 162-186.
    19. Ausloos, Marcel & Clippe, Paulette & Miśkiewicz, Janusz & Pe¸kalski, Andrzej, 2004. "A (reactive) lattice-gas approach to economic cycles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 1-7.
    20. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    21. Mauro Caminati, 2012. "Self sustaining R&D networks," Department of Economics University of Siena 653, Department of Economics, University of Siena.
    22. Jung-Seung Yang, 2022. "Dynamics of Firm’s Investment in Education and Training: An Agent-based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1317-1351, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:dymchp:978-3-319-12805-4_14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.