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Complex problem solving: a case for complex cognition?

Cognitive Processing volume 11, pages 133–142 (2010)Cite this article

Abstract

Complex problem solving (CPS) emerged in the last 30 years in Europe as a new part of the psychology of thinking and problem solving. This paper introduces into the field and provides a personal view. Also, related concepts like macrocognition or operative intelligence will be explained in this context. Two examples for the assessment of CPS, Tailorshop and MicroDYN, are presented to illustrate the concept by means of their measurement devices. Also, the relation of complex cognition and emotion in the CPS context is discussed. The question if CPS requires complex cognition is answered with a tentative “yes.”

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References

  • Anderson JR (2002) Spanning seven orders of magnitude: a challenge for cognitive modeling. Cogn Sci 26:85–112

    Article  Google Scholar 

  • Anderson JR (2005) Cognitive psychology and its implications, 6th edn. Worth, New York

    Google Scholar 

  • Anzai Y, Simon HA (1979) The theory of learning by doing. Psychol Rev 86:124–140

    Article  CAS  PubMed  Google Scholar 

  • Bach J (2003) The MicroPsi agent architecture. In: Detje F, Dörner D, Schaub H (eds) Proceedings of the fifth European conference on cognitive modelling. Universitäts-Verlag Bamberg, Bamberg, pp 15–20

  • Barth C, Funke J (2009) Negative affective environments improve complex solving performance. Cogn Emot (in press)

  • Bechtel W, Abrahamsen A (2001) Connectionism and the mind: parallel processing, dynamics, and evolution in networks. Blackwell, Oxford

    Google Scholar 

  • Brehmer B, Dörner D (1993) Experiments with computer-simulated microworlds: escaping both the narrow straits of the laboratory and the deep blue sea of the field study. Comput Hum Behav 9:171–184

    Article  Google Scholar 

  • Buchner A (1995) Basic topics and approaches to the study of complex problem solving. In: Frensch PA, Funke J (eds) Complex problem solving: the European perspective. Lawrence Erlbaum, Hillsdale, pp 27–63

    Google Scholar 

  • Cacciabue PC, Hollnagel E (1995) Simulation of cognition: applications. In: Hoc JM, Cacciabue PC, Hollnagel E (eds) Expertise and technology: cognition and human-computer cooperation. Lawrence Erlbaum, Hillsdale, pp 55–73

    Google Scholar 

  • Chi MTH, Glaser R, Rees E (1982) Expertise in problem solving. In: Sternberg RJ (ed) Advances in the psychology of human intelligence, vol 1. Lawrence Erlbaum, Hillsdale, pp 7–75

    Google Scholar 

  • Crandall B, Klein G, Hoffman RR (2006) Working minds: a practitioner’s guide to cognitive task analysis. MIT Press, Cambridge

    Google Scholar 

  • Dörner D (1980) On the difficulty people have in dealing with complexity. Simul Games 11:87–106

    Article  Google Scholar 

  • Dörner D (1986) Diagnostik der operativen Intelligenz. Diagnostica 32:290–308

    Google Scholar 

  • Dörner D (1996) The logic of failure. Recognizing and avoiding error in complex situations. Addison-Wesley, Reading

    Google Scholar 

  • Dörner D, Kreuzig HW (1983) Problemlösefähigkeit und Intelligenz. Psychologische Rundschau 34:185–192

    Google Scholar 

  • Dörner D, Reither F (1978) Über das Problemlösen in sehr komplexen Realitätsbereichen. Zeitschrift für Experimentelle und Angewandte Psychologie 25:527–551

    Google Scholar 

  • Dörner D, Schaub H (1994) Errors in planning and decision-making and the nature of human information processing. Appl Psychol Int Rev 43:433–453

    Article  Google Scholar 

  • Dörner D, Wearing AJ (1995) Complex problem solving: toward a (computersimulated) theory. In: Frensch PA, Funke J (eds) Complex problem solving: the European perspective. Lawrence Erlbaum, Hillsdale, pp 65–99

    Google Scholar 

  • Dörner D, Kreuzig HW, Reither F et al (1983) Lohhausen. Vom Umgang mit Unbestimmtheit und Komplexität, Hans Huber

    Google Scholar 

  • Embretson SE, Reise SP (2000) Item response theory for psychologists. Lawrence Erlbaum, Mahwah

    Google Scholar 

  • Endres J, Putz-Osterloh W (1994) Komplexes Problemlösen in Kleingruppen: Effekte des Vorwissens, der Gruppenstruktur und der Gruppeninteraktion. Zeitschrift für Sozialpsychologie 25:54–70

    Google Scholar 

  • Endsley MR (1995a) Measurement of situation awareness in dynamic systems. Hum Factors 37:65–84

    Article  Google Scholar 

  • Endsley MR (1995b) Towards a theory of situation awareness in dynamic systems. Hum Factors 37:32–64

    Article  Google Scholar 

  • Fiedler K (2001) Affective states trigger processes of assimilation and accomodation. In: Martin LL, Clore GL (eds) Theories of mood and cognition: a user’s guidebook. Lawrence Erlbaum, Mahwah, pp 85–98

    Google Scholar 

  • Forgas JP (2001) The affect infusion model (AIM): an integrative theory of mood effects on cognition and judgments. In: Martin LL, Clore GL (eds) Theories of mood and cognition. Erlbaum, Mahwah, pp 99–134

    Google Scholar 

  • Frensch PA, Funke J (1995a) Definitions, traditions, and a general framework for understanding complex problem solving. In: Frensch PA, Funke J (eds) Complex problem solving: the European perspective. Lawrence Erlbaum, Hillsdale, pp 3–25

    Google Scholar 

  • Frensch PA, Funke J (eds) (1995b) Complex problem solving: the European perspective. Lawrence Erlbaum, Hillsdale

    Google Scholar 

  • Funke J (1983) Einige Bemerkungen zu Problemen der Problemlöseforschung oder: Ist Testintelligenz doch ein Prädiktor? Diagnostica 29:283–302

    Google Scholar 

  • Funke J (1986) Komplexes Problemlösen - Bestandsaufnahme und Perspektiven. Springer, Heidelberg

  • Funke J (1991) Solving complex problems: exploration and control of complex systems. In: Sternberg RJ, Frensch PA (eds) Complex problem solving: principles and mechanisms. Lawrence Erlbaum, Hillsdale, pp 185–222

    Google Scholar 

  • Funke J (1995) Experimental research on complex problem solving. In: Frensch PA, Funke J (eds) Complex problem solving: the European perspective. Lawrence Erlbaum, Hillsdale, pp 243–268

    Google Scholar 

  • Funke J (2001) Dynamic systems as tools for analysing human judgement. Think Reason 7:69–89

    Article  Google Scholar 

  • Funke J, Frensch PA (2007) Complex problem solving: the European perspective—10 years after. In: Jonassen DH (ed) Learning to solve complex scientific problems. Lawrence Erlbaum, New York, pp 25–47

    Google Scholar 

  • Gray WD (2002) Simulated task environments: the role of high-fidelity simulations, scaled worlds, synthetic environments, and laboratory tasks in basic and applied cognitive research. Cogn Sci Q 2:205–227

    Google Scholar 

  • Greiff S, Funke J (2009) Measuring complex problem solving: the MicroDYN approach. In: Scheuermann F (ed) The Transition to computer-based assessment—lessons learned from large-scale surveys and implications for testing. Office for Official Publications of the European Communities, Luxembourg

  • Halford GS, Wilson WH, Phillips S (1998) Processing capacity defined by relational complexity: implications for comparative, developmental, and cognitive psychology. Behav Brain Sci 21:803–865

    CAS  PubMed  Google Scholar 

  • Hoppmann CA, Riediger M (2009) Ambulatory assessment in lifespan psychology: An overview of current status and new trends. European Psychologist (in press)

  • Hörmann H-J, Thomas M (1989) Zum Zusammenhang zwischen Intelligenz und komplexem Problemlösen. Sprache & Kognition 8:23–31

    Google Scholar 

  • Hussy W (1991) Komplexes Problemlösen und Verarbeitungskapazität. Sprache & Kognition 10:208–220

    Google Scholar 

  • Hutchins E (1995) Cognition in the wild. MIT Press, Cambridge

    Google Scholar 

  • Kahneman D, Slovic P, Tversky A (1982) Judgement under uncertainty. Heuristics and biases. Cambridge University Press, Cambridge

    Google Scholar 

  • Kalis A, Mojzisch A, Schweizer TS et al (2008) Weakness of will, akrasia, and the neuropsychiatry of decision-making: an interdisciplinary perspective. Cogn Affect Behav Neurosci 8:402–417

    Article  PubMed  Google Scholar 

  • Kersting M, Süß H-M (1995) Kontentvalide Wissensdiagnostik und Problemlösen: Zur Entwicklung, testtheoretischen Begründung und empirischen Bewährung eines problemspezifischen Diagnoseverfahrens. Zeitschrift für Pädagogische Psychologie 9:83–93

    Google Scholar 

  • Klein G (2008) Naturalistic decision making. Hum Factors 50:456–460

    Article  PubMed  Google Scholar 

  • Klein G, Orasanu J, Calderwood R et al (eds) (1993) Decision making in action: models and methods. Ablex, Norwood

    Google Scholar 

  • Klein G, Ross KG, Moon BM et al (2003) Macrocognition. IEEE Intell Syst 18:81–85

    Article  Google Scholar 

  • Klocke U (2004) Folgen von Machtausübung und Einflussnahme für Wissenszuwachs und Effektivität in Kleingruppen. In: Mathematisch-Naturwissenschaftlichen Fakultät II. Humboldt-Universität zu Berlin, Berlin

  • Kluwe RH, Misiak C, Haider H (1991) The control of complex systems and performance in intelligence tests. In: Rowe H (ed) Intelligence: reconceptualization and measurement. Lawrence Erlbaum, Hillsdale, pp 227–244

    Google Scholar 

  • Knauff M, Wolf AG (2010) Editorial. Complex Cognition this volume

  • Koole SL (2009) The psychology of emotion regulation: an integrative review. Cogn Emot 23:4–41

    Article  Google Scholar 

  • Kröner S, Plass JL, Leutner D (2005) Intelligence assessment with computer simulations. Intelligence 33:347–368

    Article  Google Scholar 

  • Leutner D (1988) Computersimulierte dynamische Systeme: Wissenserwerb unter verschiedenen Lehrmethoden und Sozialformen des Unterrichts. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie 20:338–355

    Google Scholar 

  • Lewin K (1935) A dynamic theory of personality (selected papers). McGraw-Hill, New York

    Google Scholar 

  • Lipshitz R, Klein G, Orasanu J et al (2001) Taking stock of naturalistic decision making. J Behav Decis Mak 14:331–352

    Article  Google Scholar 

  • Mayer RE (1992) Thinking, problem solving, cognition, 2nd edn. W. H. Freeman, New York

    Google Scholar 

  • McClelland JL, Rumelhart DE (1985) Distributed memory and the representation of general and specific information. J Exp Psychol Gen 114:159–188

    Article  CAS  PubMed  Google Scholar 

  • Meyer B, Grütter J, Oertig M et al (2009) Women’s underperformance in complex problem solving: stereotype threat in microworld performance. Eur J Soc Psychol (under review)

  • Moors A (2009) Theories of emotion causation: a review. Cogn Emot 23:625–662

    Article  Google Scholar 

  • Müller H (1993) Komplexes Problemlösen: Reliabilität und Wissen. Holos, Bonn

    Google Scholar 

  • Newell A (1990) Unified theories of cognition. Harvard University Press, Cambridge

    Google Scholar 

  • Nisbett RE, Norenzayan A (2002) Culture and cognition. In: Pashler H, Medin D (eds) Steven’s handbook of experimental psychology. Third edition. Vol. 2: memory and cognitive processes. John Wiley, New York, pp 561–597

    Google Scholar 

  • Osman M (2009) Controlling uncertainty: a review of human behavior in complex dynamic environments. Psychol Bull (in press)

  • Putz-Osterloh W (1981) Über die Beziehung zwischen Testintelligenz und Problemlöseerfolg. Zeitschrift für Psychologie 189:79–100

    Google Scholar 

  • Putz-Osterloh W (1983) Über Determinanten komplexer Problemlöseleistungen und Möglichkeiten zu ihrer Erfassung. Sprache & Kognition 2:100–116

    Google Scholar 

  • Putz-Osterloh W, Lüer G (1981) Über die Vorhersagbarkeit komplexer Problemlöseleistungen durch Ergebnisse in einem Intelligenztest. Zeitschrift für Experimentelle und Angewandte Psychologie 28:309–334

    Google Scholar 

  • Putz-Osterloh W, Bott B, Köster K (1990) Modes of learning in problem solving—are they transferable to tutorial systems? Comput Hum Behav 6:83–96

    Article  Google Scholar 

  • Rasmussen J (1983) Skills, rules, knowledge: signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans Syst Man Cybern SMC 13:257–266

    Google Scholar 

  • Rigas G, Brehmer B (1999) Mental processes in intelligence tests and dynamic decision making tasks. In: Juslin P, Montgomery H (eds) Judgement and decision making: Neo-Brunswikean and process-tracing approaches. Lawrence Erlbaum, Hillsdale, pp 45–65

    Google Scholar 

  • Schwarz N (1990) Feelings as information: informational and motivational functions of affective states. In: Higgins ET, Sorrentino RM (eds) Handbook of motivation and cognition. Guilford Press, New York, pp 527–561

    Google Scholar 

  • Shadish WR, Cook TD (2009) The renaissance of field experimentation in evaluating interventions. Annu Rev Psychol 60:607–629

    Article  PubMed  Google Scholar 

  • Shadish WR, Cook TD, Campbell DT (2002) Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin, Boston

    Google Scholar 

  • Sternberg RJ (1995) Expertise in complex problem solving: a comparison of alternative conceptions. In: Frensch PA, Funke J (eds) Complex problem solving: the European perspective. Lawrence Erlbaum, Hillsdale, pp 295–321

    Google Scholar 

  • Strauß B (1993) Konfundierungen beim Komplexen Problemlösen. Zum Einfluß des Anteils der richtigen Lösungen (ArL) auf das Problemlöseverhalten in komplexen Situationen. Holos, Bonn

    Google Scholar 

  • Strohschneider S (1991) Problemlösen und Intelligenz: Über die Effekte der Konkretisierung komplexer Probleme. Diagnostica 37:353–371

    Google Scholar 

  • Süß H-M (1996) Intelligenz. Wissen und Problemlösen, Hogrefe, Göttingen

    Google Scholar 

  • Süß H-M (1999) Intelligenz und komplexes Problemlösen—Perspektiven für eine Kooperation zwischen differentiell-psychometrischer und kognitionspsychologischer Forschung. Psychologische Rundschau 50:220–228

    Article  Google Scholar 

  • Süß H-M, Kersting M, Oberauer K (1991) Intelligenz und Wissen als Prädiktoren für Leistungen bei computersimulierten komplexen Problemen. Diagnostica 37:334–352

    Google Scholar 

  • von Ehrenfels C (1890) Über Gestaltqualitäten. Vierteljahrsschrift für Wissenschaftliche Philosophie 14:249–292

    Google Scholar 

  • Welford AT (ed) (1980) Reaction times. Academic Press, New York

    Google Scholar 

  • Wenke D, Frensch PA (2003) Is success or failure at solving complex problems related to intellectual ability? In: Davidson JE, Sternberg RJ (eds) The psychology of problem solving. Cambridge University Press, Cambridge, pp 87–126

    Chapter  Google Scholar 

  • Wittmann WW, Hattrup K (2004) The relationship between performance in dynamic systems and intelligence. Syst Res Behav Sci 21:393–409

    Article  Google Scholar 

  • Zsambok CE (1997) Naturalistic decision making: where are we now? In: Zsambok CE, Klein GA (eds) Naturalistic decision making. Lawrence Erlbaum, Mahwah, pp 3–16

    Google Scholar 

  • Zsambok CE, Klein GA (eds) (1997) Naturalistic decision making. Lawrence Erlbaum, Mahwah

    Google Scholar 

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Acknowledgments

Thanks to Carola Barth, Christine Blech, Sven Brüssow, Samuel Greiff, Daniel Holt and Sabrina Zinke for helpful comments on a draft version. Two anonymous reviewers gave further valuable comments and hints for improvements; the comments of one of them were so useful that they found their way directly into the manuscript. Thanks! Finally, Ann Wolf helped to improve the quality of my English. Part of this research was funded by a grant from the DFG to the author (Az. Fu 173/11-1).

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  1. Psychologisches Institut, Universität Heidelberg, Hauptstr. 47-51, 69117, Heidelberg, Germany

    Joachim Funke

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Funke, J. Complex problem solving: a case for complex cognition?. Cogn Process 11, 133–142 (2010). https://doi.org/10.1007/s10339-009-0345-0

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Keywords

  • Complex problem solving
  • Operative intelligence
  • Macrocognition
  • Emotion
  • Complex cognition