IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v72y2019icp1-12.html
   My bibliography  Save this article

Differentiating between static and complex problems: A theoretical framework and its empirical validation

Author

Listed:
  • Stadler, Matthias
  • Niepel, Christoph
  • Greiff, Samuel

Abstract

Ever since its first conception, the concept of complex problem solving (CPS) has been debated regarding its role within the conception of human intelligence. The aim of the current paper was to theoretically introduce and empirically test a multifaceted framework of CPS that subsumes different positions and provides testable predictions on the nature of CPS. Following a review of the existing literature on complex problem solving, we conclude that it is necessary to differentiate between the dimensions of connectivity and dynamics. These dimensions are further distinguishable for both phases of CPS, knowledge acquisition and knowledge application, resulting in four facets. Static problems, as used in conventional measures of intelligence, on the other hand, do not include dynamics as much as complex problems. We argue that the differences in CPS and static problem solving proposed by various researchers result from the dimension of dynamics that is highly relevant for CPS but less so for static problem solving. An empirical analysis based on two independent samples supported the assumptions made by the framework. This brings substantial implications for the understanding of CPS as well as the interpretation of previous research, which we discuss.

Suggested Citation

  • Stadler, Matthias & Niepel, Christoph & Greiff, Samuel, 2019. "Differentiating between static and complex problems: A theoretical framework and its empirical validation," Intelligence, Elsevier, vol. 72(C), pages 1-12.
    • Handle: RePEc:eee:intell:v:72:y:2019:i:c:p:1-12
    DOI: 10.1016/j.intell.2018.11.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289618300163
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intell.2018.11.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
    2. Albert Satorra & Peter Bentler, 2010. "Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 243-248, June.
    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. Herrmann, W. & Beckmann, J.F. & Kretzschmar, A., 2023. "The role of learning in complex problem solving using MicroDYN," Intelligence, Elsevier, vol. 100(C).
    2. Nicolay, Björn & Krieger, Florian & Kuhn, Jörg-Tobias & Graesser, Arthur C. & Ifenthaler, Dirk & Baker, Ryan & Greiff, Samuel, 2023. "Unsuccessful and successful complex problem solvers – A log file analysis of complex problem solving strategies across multiple tasks," Intelligence, Elsevier, vol. 101(C).
    3. Lotz, Christin & Scherer, Ronny & Greiff, Samuel & Sparfeldt, Jörn R., 2022. "g's little helpers – VOTAT and NOTAT mediate the relation between intelligence and complex problem solving," Intelligence, Elsevier, vol. 95(C).
    4. Weise, Julius J. & Greiff, Samuel & Sparfeldt, Jörn R., 2020. "The moderating effect of prior knowledge on the relationship between intelligence and complex problem solving – Testing the Elshout-Raaheim hypothesis," Intelligence, Elsevier, vol. 83(C).

    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. Reyes, Damián & Erera, Alan L. & Savelsbergh, Martin W.P., 2018. "Complexity of routing problems with release dates and deadlines," European Journal of Operational Research, Elsevier, vol. 266(1), pages 29-34.
    2. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    3. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.
    4. Csilla Horváth & Feray Adigüzel & Hester van Herk, 2013. "Cultural Aspects Of Compulsive Buying In Emerging And Developed Economies: A Cross Cultural Study In Compulsive Buying," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).
    5. Dessouky, Maged M & Hu, Shichun, 2021. "Dynamic Routing for Ride-Sharing," Institute of Transportation Studies, Working Paper Series qt6qq8r7hz, Institute of Transportation Studies, UC Davis.
    6. Anastasia Stathopoulou & Tommy Kweku Quansah & George Balabanis, 2022. "The Blinding Effects of Team Identification on Sports Corruption: Cross-Cultural Evidence from Sub-Saharan African Countries," Journal of Business Ethics, Springer, vol. 179(2), pages 511-529, August.
    7. Balabanis, George & Stathopoulou, Anastasia, 2021. "The price of social status desire and public self-consciousness in luxury consumption," Journal of Business Research, Elsevier, vol. 123(C), pages 463-475.
    8. Nair, Rahul & Miller-Hooks, Elise, 2014. "Equilibrium network design of shared-vehicle systems," European Journal of Operational Research, Elsevier, vol. 235(1), pages 47-61.
    9. Mirjam Braßler & Martin Schultze, 2021. "Students’ Innovation in Education for Sustainable Development—A Longitudinal Study on Interdisciplinary vs. Monodisciplinary Learning," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    10. Zolfagharinia, Hossein & Haughton, Michael, 2018. "The importance of considering non-linear layover and delay costs for local truckers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 331-355.
    11. Capelle, Thomas & Cortés, Cristián E. & Gendreau, Michel & Rey, Pablo A. & Rousseau, Louis-Martin, 2019. "A column generation approach for location-routing problems with pickup and delivery," European Journal of Operational Research, Elsevier, vol. 272(1), pages 121-131.
    12. Baals, Julian & Emde, Simon & Turkensteen, Marcel, 2023. "Minimizing earliness-tardiness costs in supplier networks—A just-in-time truck routing problem," European Journal of Operational Research, Elsevier, vol. 306(2), pages 707-741.
    13. Shaza Hanif & Shahab Ud Din & Ning Gui & Tom Holvoet, 2023. "Multiagent Coordination and Teamwork: A Case Study for Large-Scale Dynamic Ready-Mixed Concrete Delivery Problem," Mathematics, MDPI, vol. 11(19), pages 1-25, September.
    14. Roberto Tadei & Guido Perboli & Francesca Perfetti, 2017. "The multi-path Traveling Salesman Problem with stochastic travel costs," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 3-23, March.
    15. Trotta, Manuel & Archetti, Claudia & Feillet, Dominique & Quilliot, Alain, 2022. "Pickup and delivery problems with autonomous vehicles on rings," European Journal of Operational Research, Elsevier, vol. 300(1), pages 221-236.
    16. Lars Petersen & Jacob Hörisch & Kathleen Jacobs, 2021. "Worse is worse and better doesn't matter?: The effects of favorable and unfavorable environmental information on consumers’ willingness to pay," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1338-1356, October.
    17. Hosni, Hadi & Naoum-Sawaya, Joe & Artail, Hassan, 2014. "The shared-taxi problem: Formulation and solution methods," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 303-318.
    18. Diego Muñoz-Carpintero & Doris Sáez & Cristián E. Cortés & Alfredo Núñez, 2015. "A Methodology Based on Evolutionary Algorithms to Solve a Dynamic Pickup and Delivery Problem Under a Hybrid Predictive Control Approach," Transportation Science, INFORMS, vol. 49(2), pages 239-253, May.
    19. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
    20. Zahra Navidi & Nicole Ronald & Stephan Winter, 2018. "Comparison between ad-hoc demand responsive and conventional transit: a simulation study," Public Transport, Springer, vol. 10(1), pages 147-167, May.

    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:eee:intell:v:72:y:2019:i:c:p:1-12. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    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.