Abstract
Naturalistic decision-making (NDM) investigates the cognitive strategies used by experts in making decisions in real-world contexts. Unlike studies conducted in the laboratory, the NDM paradigm is applied to real human interactions, often characterized by uncertainty, risk, complexity, time pressures and so on. In this approach, the role of experience is crucial in making possible a quick classification of decision-making situations and therefore in making an effective, rapid and prudent choice. Models of behaviour resulting from these studies represent an extraordinary resource for research and for the application of decision-making strategies in high-risk environments. They particularly underline not only that most of the critical decisions that we take are based on our intuition, but that the ability to recognize patterns and other signals that allow us to act effectively is a natural extension of experience.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zsambok, C.E., Klein, G. (eds.): Naturalistic Decision Making. Psychology Press, New York (2014)
Klein, G.A., Orasanu, J.E., Calderwood, R.E., Zsambok, C.E.: Decision making in action: models and methods. In: This Book is an Outcome of a Workshop Held in Dayton, OH, 25–27 Sep 1989. Ablex Publishing, New York (1993)
Klein, G.L.: A recognition-primed decision (RPD) model of rapid decision making. Decision Making in Action: Models and Methods. Ablex Publishing, New York (1993)
Beach, L.R., Lipshitz, R.: Why classical decision theory is an inappropriate standard for evaluating and aiding most human decision making. In: Decision Making in Aviation, 85 (2017)
Lipshitz, R.: Converging themes in the study of decision making in realistic settings. In: Klein, G.A., Orasanu, J., Calderwood, R., Zsambok, C.E. (eds.) Decision Making in Action: Models and Methods, pp. 103–137. Ablex, Norwood, NJ (1993)
Hammond, K.R., Hamm, R.M., Grassia, J., Pearson, T.: Direct comparison of the efficacy of intuitive and analytical cognition in expert judgment. IEEE Trans. Syst. Man Cybern. 17(5), 753–770 (1987)
Rasmussen, J.: Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. 3, 257–266 (1983)
Maldonato, N.M., Dell’Orco, S.: The natural logic of action. World Futures 69(3), 174–183 (2013)
Morton, A.: Disasters and Dilemmas: Strategies for Real-Life Decision Making. Wiley, Hoboken (2017)
Klein, G.A., Calderwood, R., Clinton-Cirocco, A.: Rapid decision making on the fire ground. In: Proceedings of the Human Factors Society Annual Meeting (vol. 30, no. 6, pp. 576–580). Sage, Los Angeles, CA (1986)
Lipshitz, R., Omodei, M., McLennan, J., Wearing, A.: What’s burning? The RAWFS heuristic on the fire ground. In: Expertise Out of Context, pp. 97–112 (2007)
Zsambok, C.E.: Implications of a recognitional decision model for consumer behavior. In: ACR North American Advances (1993)
Schiebener, J., Brand, M.: Decision making under objective risk conditions—a review of cognitive and emotional correlates, strategies, feedback processing, and external influences. Neuropsychol. Rev. 25(2), 171–198 (2015)
Maldonato, N.M., Dell’Orco, S., Sperandeo, R.: When intuitive decisions making, based on expertise, may deliver better results than a rational, deliberate approach. In: Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E. (eds.) Multidisciplinary Approaches to Neural Computing. Springer, Cham (2018)
Simon, H.A.: Theories of bounded rationality. Decis. Organ. 1(1), 161–176 (1972)
Klein, G.: A naturalistic decision making perspective on studying intuitive decision making. J. Appl. Res. Mem. Cogn. 4(3), 164–168 (2015)
Juanchich, M., Dewberry, C., Sirota, M., Narendran, S.: Cognitive reflection predicts real-life decision outcomes, but not over and above personality and decision-making styles. J. Behav. Decis. Mak. 29(1), 52–59 (2016)
Mata, R., Josef, A.K., Lemaire, P.: Adaptive decision making and aging. In: Aging and Decision Making, pp. 105–126 (2015)
Lin, X., Featherman, M., Brooks, S.L., Hajli, N.: Exploring gender differences in online consumer purchase decision making: an online product presentation perspective. In: Information Systems Frontiers, pp. 1–15 (2018)
Stanovich, K.E., West, R.F.: Individual differences in rational thought. J. Exp. Psychol. Gen. 127(2), 161 (1998)
Scott, S.G., Bruce, R.A.: Decision-making style: the development and assessment of a new measure. Educ. Psychol. Measur. 55(5), 818–831 (1995)
Riding, R.J., Glass, A., Douglas, G.: Individual differences in thinking: cognitive and neurophysiological perspectives. Educ. Psychol. 13(3–4), 267–279 (1993)
Pask, G.: Learning strategies, teaching strategies, and conceptual or learning style. Learning Strategies and Learning Styles, pp. 83–100. Springer, Boston, MA (1988)
Epstein, S., Pacini, R., Denes-Raj, V., Heier, H.: Individual differences in intuitive—experiential and analytical—rational thinking styles. J. Pers. Soc. Psychol. 71(2), 390 (1996)
Maldonato, N.M., Dell’Orco, S.: The predictive brain. World Futures 68(6), 381–389 (2012)
Bruine de Bruin, W., Parker, A.M., Fischhoff, B.: Individual differences in adult decision-making competence. J. Pers. Soc. Psychol. 92(5), 938 (2007)
Scheibehenne, B., Von Helversen, B.: Selecting decision strategies: the differential role of affect. Cogn. Emot. 29(1), 158–167 (2015)
Hollnagel, E.: Decisions about “what” and decisions about “how”. In: Decision Making in Complex Environments, pp. 37–46. CRC Press, Boca Rotan (2017)
Payne, J.W., Bettman, J.R., Johnson, E.J.: The Adaptive Decision Maker. Cambridge University Press, Cambridge (1993)
Maldonato, N.M., Dell’Orco, S.: How to make decisions in an uncertain world: heuristics, biases, and risk perception. World Futures 67(8), 569–577 (2011)
Gigerenzer, G.: Towards a rational theory of heuristics. Minds, Models and Milieux, pp. 34–59. Palgrave Macmillan, London (2016)
Glöckner, A., Hilbig, B.E., Jekel, M.: What is adaptive about adaptive decision making? A parallel constraint satisfaction account. Cognition 133(3), 641–666 (2014)
Laureiro-Martínez, D., Brusoni, S.: Cognitive flexibility and adaptive decision-making: evidence from a laboratory study of expert decision-makers. Strateg. Manag. J. 39, 1031–1058 (2018)
Jekel, M., Glöckner, A.: How to identify strategy use and adaptive strategy selection: the crucial role of chance correction in weighted compensatory strategies. J. Behav. Decis. Mak. 31, 265–279 (2016)
Shevchenko, Y., Bröder, A.: The effect of mood on integration of information in a multi-attribute decision task. Acta Physiol. (Oxf.) 185, 136–145 (2018)
Maldonato, N.M.: Undecidable decisions: rationality limits and decision-making heuristics. World Futures 63(1), 28–37 (2007)
Hogarth, R.M., Reder, M.W.: Rational Choice: The Contrast Between Economics and Psychology. University of Chicago Press, Chicago (1987)
Zipf, G.K.: Human Behaviour and the Principle of Least-Effort. Addison-Wesley, Reading, Cambridge MA (1949)
Gigerenzer, G.: The adaptive toolbox: toward a Darwinian rationality. Nebr. Symp. Motiv. 47, 113–144 (2001)
Mousavi, S.: Ecological rationality of heuristics in psychology and economics. In: Routledge Handbook of Behavioral Economics, 88 (2016)
Lipshitz, R., Strauss, O.: Coping with uncertainty: a naturalistic decision-making analysis. Organ. Behav. Hum. Decis. Process. 69(2), 149–163 (1997)
Maldonato, N.M., Dell’Orco, S.: Making decisions under uncertainty emotions, risk and biases. Advances in Neural Networks: Computational and Theoretical Issues, pp. 293–302. Springer, Cham (2015)
Gore, J., Ward, P.: Naturalistic decision making under uncertainty: theoretical and methodological developments–an introduction to the special section. J. Appl. Res. Mem. Cogn. (2018)
Klein, G.: The power of Intuition. Currency-Doubleday, New York, NY (2003)
Sperandeo, R., Picciocchi, E., Valenzano, A., Cibelli, G., Ruberto, V., Moretto, E., Monda, V., Messina, A., Dell’Orco, S., Di Sarno, A.D., Marsala, G., Polito, A.N., Longobardi, T., Maldonato, N.M.: Exploring the relationships between executive functions and personality dimensions in the light of “embodied cognition” theory: a study on a sample of 130 subjects. Acta Medica Mediterranea 34(5), 1271–1279 (2018)
Sperandeo, R., Moretto, E., Baldo, G., Dell’Orco, S., Maldonato, N.M.: Executive functions and personality features: a circular interpretative paradigm. In: 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 000063–000066. IEEE (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Dell’Orco, S. et al. (2020). Decision-Making Styles in an Evolutionary Perspective. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-13-8950-4_45
Download citation
DOI: https://doi.org/10.1007/978-981-13-8950-4_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8949-8
Online ISBN: 978-981-13-8950-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)