IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/31094.html

Happiness: Between What We Want and What We Need

Author

Listed:
  • Situngkir, Hokkt

Abstract

The paper presents a very simple toy model that is simulated to experience some aspects related to what is it people want and need when related to the social happiness. By outlining some short discussions related to the distinguishing of what we call “want” and “need”, we see how both micro-social aspects may emerge the happiness as well as the urge to innovate and affinity to the collective creativity and social progress.

Suggested Citation

  • Situngkir, Hokkt, 2011. "Happiness: Between What We Want and What We Need," MPRA Paper 31094, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:31094
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/31094/1/MPRA_paper_31094.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreas Flache & Rainer Hegselmann, 1998. "Understanding Complex Social Dynamics: a Plea for Cellular Automata Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-1.
    2. Situngkir, Hokky, 2010. "Landscape in the Economy of Conspicuous Consumptions," MPRA Paper 22948, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    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. Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
    2. Dimitris Tsintsaris & Milan Tsompanoglou & Evangelos Ioannidis, 2024. "Dynamics of Social Influence and Knowledge in Networks: Sociophysics Models and Applications in Social Trading, Behavioral Finance and Business," Mathematics, MDPI, vol. 12(8), pages 1-27, April.
    3. G Jordan Maclay & Moody Ahmad, 2021. "An agent based force vector model of social influence that predicts strong polarization in a connected world," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-42, November.
    4. Itzhak Omer, 2005. "How Ethnicity Influences Residential Distributions: An Agent-Based Simulation," Environment and Planning B, , vol. 32(5), pages 657-672, October.
    5. Bithell, M. & Macmillan, W.D., 2007. "Escape from the cell: Spatially explicit modelling with and without grids," Ecological Modelling, Elsevier, vol. 200(1), pages 59-78.
    6. Nicole J. Saam & Andreas G. Harrer, 1999. "Simulating Norms, Social Inequality, and Functional Change in Artificial Societies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(1), pages 1-2.
    7. Andreas Flache, 2001. "Individual Risk Preferences And Collective Outcomes In The Evolution Of Exchange Networks," Rationality and Society, , vol. 13(3), pages 304-348, August.
    8. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    9. Itzhak Benenson & Erez Hatna & Ehud Or, 2009. "From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics," Sociological Methods & Research, , vol. 37(4), pages 463-497, May.
    10. Francesc S. Beltran & Salvador Herrando & Doris Ferreres & Marc-Antoni Adell & Violant Estreder & Marcos Ruiz-Soler, 2009. "Forecasting a Language Shift Based on Cellular Automata," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(3), pages 1-5.
    11. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.
    12. Deng, W. & Hendrikse, G.W.J., 2022. "On the Evolution of Product Portfolio of Cooperatives versus IOFs: An Agent-Based Analysis of the Single Origin Constraint," ERIM Report Series Research in Management ERS-2022-005-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    14. Malte Schwoon, 2006. "Simulating the adoption of fuel cell vehicles," Journal of Evolutionary Economics, Springer, vol. 16(4), pages 435-472, October.
    15. Andreas Flache & Rainer Hegselmann, 1999. "Rationality vs. Learning in the Evolution of Solidarity Networks: A Theoretical Comparison," Computational and Mathematical Organization Theory, Springer, vol. 5(2), pages 97-127, July.
    16. Werner Güth & Hartmut Kliemt & Stefan Napel, "undated". "Wie Du mir, so ich Dir! - Ökonomische Theorie und Experiment am Beispiel der Reziprozität," Papers on Strategic Interaction 2002-19, Max Planck Institute of Economics, Strategic Interaction Group.
    17. Marco A. Janssen & Wander Jager, 1999. "An Integrated Approach to Simulating Behavioural Processes: a Case Study of the Lock-in of Consumption Patterns," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-2.
    18. Desmarchelier, Benoît & Djellal, Faridah & Gallouj, Faïz, 2013. "Environmental policies and eco-innovations by service firms: An agent-based model," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1395-1408.
    19. Hendrikse, G.W.J. & Smit, R., 2007. "On the Evolution of Product Portfolio Coherence of Cooperatives versus Corporations: An Agent-Based Analysis of the Single Origin Constraint," ERIM Report Series Research in Management ERS-2007-055-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Moses Boudourides & Gerasimos Antypas, 2002. "A Simulation of the Structure of the World-Wide Web," Sociological Research Online, , vol. 7(1), pages 9-25, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • Z10 - Other Special Topics - - Cultural Economics - - - General
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • H00 - Public Economics - - General - - - General
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • D60 - Microeconomics - - Welfare Economics - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

    Statistics

    Access and download statistics

    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:pra:mprapa:31094. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.