Cited by 94Complex Systems and Decision MakingDesign Education and PracticeProblem Solving Skills Development

The DOI matches its Crossref record.

A study of how individuals solve complex and ill-structured problems

Fernandes, Ronald, Simon, Herbert A.·1999·Policy Sciences

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Crossref · 10.1023/a:1004668303848

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  • Cognitive processing research has identified both bounded rationality and 'satisficing' as limitations to complex cognitive processing.

    “For example, cognitive processing research has identified both bounded rationality and 'satisficing' as limitations to complex cognitive processing [2,15,44,46-50].”
  • Decision makers, even if they have access to required information and have relevant expertise, may not engage in complex cognitive information processing when making decisions.

    “However, decision-making research has shown that decision makers, even if they have access to required information and have relevant expertise, may not engage in complex cognitive information processing when making decisions [13,15,44,46-50].”
  • Despite the expectation of rationality in policy decision making, policy makers' decisions can include individual and group utility factors and be a source of bias because decision information is rooted in individual cognitive processing.

    “Therefore, despite the expectation of rationality in policy decision making, policy makers' decisions can include individual and group utility factors and be a source of bias because decision information is rooted in individual cognitive processing [44-50,61].”

Citations

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Research works printed but not linked: 19

  1. Akin, O. (1986). Psychology of Architectural Design. London: Pion Limited, pp. 176–177.
  2. Altemeyer, B. (1966). ‘Education in the arts and siences: Divergent paths,’ doctoral dissertation, Carnegie Mellon University.
  3. Amsel, E., R. Langer and L. Loutzenhiser (1991). ‘Do lawyers reason differently from psychologists? A comparative design for studying expertise,’ in R. Sternberg and P. Frensch, eds., Complex Problem Solving-Principles and Mechanisms, Hillsdale, New Jersey: Lawrence Erlbaum Associates, pp. 223–250.
  4. Borgatti, E. and Freeman (1992). ‘UCINET IV Version 1.0–Network Analysis Software: User's guide'. · DOI
  5. Doktor, R. (1969). ‘The development and mapping of certain cognitive styles of problem solving,’ doctoral dissertation, Stanford University.
  6. Ericsson, A.K. and H. A. Simon (1983). Protocol Analysis: Verbal Reports as Data. Cambridge, MA: The MIT Press.
  7. Fisher, C. (1991). ‘Protocol analyst's workbench: Design and evaluation of computer-aided protocol analysis,’ doctoral dissertation, Carnegie Mellon University.
  8. Funke, J. (1991). ‘Solving complex problems: Exploration and control of complex systems,’ in R. Sternberg and P. Frensch, eds., Complex Problem Solving-Principles and Mechanisms, Hillsdale, New Jersey: Lawrence Erlbaum Associates, pp. 185–222.
  9. Krackhardt, D., J. Blythe and K. McGrath (1994). ‘KrackPlot 3.0: An improved network drawing program,’ Connections 17 (2): 53–55.
  10. Krackhardt, D. (1988). ‘Predicting with networks: Nonparametric multiple regression analysis of dyadic data,’ Social Networks 10, pp. 359–381. · DOI
  11. Newell, A. and H. A. Simon (1972). Human Problem Solving. Englewood Cliffs, N.J.: Prentice-Hall.
  12. Schwartz, S. and T. Griffen (1986). Medical Thinking-The Psychology of Medical Judgment and Decision-Making, NewYork: Springer Verlag.
  13. Simon, Herbert A. (1997). Administrative Behavior, 4th edition, NewYork: The Free Press.
  14. Simon, H.A. (1973). ‘The structure of ill-structured problems,'Artificial Intelligence 4, pp.181–201. · DOI · Paper page
  15. Timmer, P., Walter F. and Scott Pearson (1983). Food Policy Analysis, Baltimore: The Johns Hopkins University Press.
  16. Voss, J., S.W. Tyler and L. A. Yengo (1983). ‘Individual di¡erences in the solving of social science problems,’ in R. F. Dillon, R.R. Schmeck, eds., Individual Differences in Cognition, New York: Academic Press.
  17. Voss, J. F. and T. A. Post (1988). ‘On the solving of ill-structured problems,’ in M.T. H. Chi, R. Glaser, and M. J. Farr, eds., The Nature of Expertis, Hillsdale, N.J.: Lawrence Erlbaurn Associates, pp. 261–285
  18. Winter, D.G., D.C. McClelland and A. J. Stewart (1981). A New Case for the Liberal Arts, San Francisco, California: Jossey Bass Publishers.
  19. Wrightsman, L. S. (1987). Psychology and the Legal System, Monterey, California: Brooks/Cole Publishing Company.

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Metadata

Authors
Fernandes, R., & Simon, H. A.
Affiliations
Carnegie Mellon University (US)
Venue
Policy Sciences
Published
1999-09
Volume
32
Issue
3
Pages
225-245
ISSN
  • 0032-2687 (ISSN-L)
  • 1573-0891
OpenAlex
W38741536
Cited by
94
References
0
Citations by year
2025: 7 · 2024: 4 · 2023: 3 · 2022: 6 · 2021: 3 · 2020: 4 · 2019: 7 · 2018: 1 · 2017: 3 · 2016: 8 · 2015: 3 · 2014: 3 · 2013: 5 · 2012: 7
FWCI
2.95
Type
journal article
Language
en
Open access
closed
Locations
Policy Sciences (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
  • Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
  • Social Sciences › Psychology › Applied Psychology › Problem Solving Skills Development
Keywords
problem solving, ill-structured problems, problem-solving strategies, verbal protocols, propositional representation, mental representation, professional training, national culture, hunger, cross-cultural comparison

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