Decision-making in healthy children, adolescents and adults explained by the use of increasingly complex proportional reasoning rules.

In the standard Iowa Gambling Task (IGT), participants have to choose repeatedly from four options. Each option is characterized by a constant gain, and by the frequency and amount of a probabilistic loss. Crone and van der Molen (2004) reported that school-aged children and even adolescents show marked deficits in IGT performance. In this study, we have re-analyzed the data with a multivariate normal mixture analysis to show that these developmental changes can be explained by a shift from unidimensional to multidimensional proportional reasoning (Siegler, 1981; Jansen & van der Maas, 2002). More specifically, the results show a gradual shift with increasing age from (a) guessing with a slight tendency to consider frequency of loss to (b) focusing on frequency of loss, to (c) considering both frequency and amount of probabilistic loss. In the latter case, participants only considered options with low-frequency loss and then chose the option with the lowest amount of loss. Performance improved in a reversed task, in which punishment was placed up front and gain was delivered unexpectedly. In this reversed task, young children are guessing with already a slight tendency to consider both the frequency and amount of gain; this strategy becomes more pronounced with age. We argue that these findings have important implications for the interpretation of IGT performance, as well as for methods to analyze this performance.

[1]  Melissa L. Finucane,et al.  Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  Philip David Zelazo,et al.  Assessment of Hot and Cool Executive Function in Young Children: Age-Related Changes and Individual Differences , 2005, Developmental neuropsychology.

[3]  C. Moore,et al.  Complex decision-making in early childhood , 2004, Brain and Cognition.

[4]  W. Overman,et al.  Sex differences in early childhood, adolescence, and adulthood on cognitive tasks that rely on orbital prefrontal cortex , 2004, Brain and Cognition.

[5]  E. Crone,et al.  Developmental Changes in Real Life Decision Making: Performance on a Gambling Task Previously Shown to Depend on the Ventromedial Prefrontal Cortex , 2004, Developmental neuropsychology.

[6]  J. Raven,et al.  Raven Progressive Matrices , 2003 .

[7]  E. Crone,et al.  Development of decision making in school-aged children and adolescents: evidence from heart rate and skin conductance analysis. , 2007, Child development.

[8]  E. Parzen,et al.  Modern Probability Theory and Its Applications , 1960 .

[9]  Brenda R. J. Jansen,et al.  The development of children's rule use on the balance scale task. , 2002, Journal of experimental child psychology.

[10]  H. Damasio,et al.  Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. , 2000, Brain : a journal of neurology.

[11]  D. F. Morrison,et al.  Multivariate Statistical Methods , 1968 .

[12]  Adrian E. Raftery,et al.  Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .

[13]  E. Rolls,et al.  Abstract reward and punishment representations in the human orbitofrontal cortex , 2001, Nature Neuroscience.

[14]  James K. Kroger,et al.  Rostrolateral Prefrontal Cortex Involvement in Relational Integration during Reasoning , 2001, NeuroImage.

[15]  W. Overman,et al.  Performance on the IOWA card task by adolescents and adults , 2004, Neuropsychologia.

[16]  Eldad Yechiam,et al.  Comparison of basic assumptions embedded in learning models for experience-based decision making , 2005, Psychonomic bulletin & review.

[17]  A. Damasio,et al.  Insensitivity to future consequences following damage to human prefrontal cortex , 1994, Cognition.

[18]  Han L. J. van der Maas,et al.  Evidence for the Phase Transition from Rule I to Rule II on the Balance Scale Task , 2001 .

[19]  Adrian E. Raftery,et al.  Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST , 2003, J. Classif..

[20]  K I Bolla,et al.  Cerebral Cortex Advance Access published May 13, 2004 Sex-related Differences in a Gambling Task and Its Neurological Correlates , 2022 .

[21]  Alfonso Caramazza,et al.  Do somatic markers mediate decisions on the gambling task? , 2002, Nature Neuroscience.

[22]  Jerome R. Busemeyer,et al.  Individual differences in the response to forgone payoffs: an examination of high functioning drug abusers , 2005 .

[23]  F. Wilkening,et al.  Children's construction of fair chances: adjusting probabilities. , 1998, Developmental psychology.

[24]  B. J. Casey,et al.  Imaging the developing brain: what have we learned about cognitive development? , 2005, Trends in Cognitive Sciences.

[25]  Rosemary Tannock,et al.  Executive and motivational processes in adolescents with Attention-Deficit-Hyperactivity Disorder (ADHD) , 2005, Behavioral and Brain Functions.

[26]  Catalina J. Hooper,et al.  Adolescents' performance on the Iowa Gambling Task: implications for the development of decision making and ventromedial prefrontal cortex. , 2004, Developmental psychology.

[27]  A. Lawrence,et al.  The somatic marker hypothesis: A critical evaluation , 2006, Neuroscience & Biobehavioral Reviews.

[28]  Keith H. Nuechterlein,et al.  Schizophrenia patients demonstrate a distinctive pattern of decision-making impairment on the Iowa Gambling Task , 2005, Schizophrenia Research.

[29]  Brenda R. J. Jansen,et al.  Constrained and Unconstrained Multivariate Normal Finite Mixture Modeling of Piagetian Data , 2004, Multivariate behavioral research.

[30]  A. Damasio Descartes’ Error. Emotion, Reason and the Human Brain. New York (Grosset/Putnam) 1994. , 1994 .

[31]  M. Battaglia,et al.  Taxonic structure of schizotypal personality disorder: A multiple-instrument, multi-sample study based on mixture models , 2005, Psychiatry Research.

[32]  Philip David Zelazo,et al.  Development of “hot” executive function: The children’s gambling task , 2004, Brain and Cognition.

[33]  D. Kumaran,et al.  Frames, Biases, and Rational Decision-Making in the Human Brain , 2006, Science.

[34]  W. Overman,et al.  Contemplation of moral dilemmas eliminates sex differences on the Iowa gambling task. , 2006, Behavioral neuroscience.

[35]  A. Tversky,et al.  Contingent weighting in judgment and choice , 1988 .

[36]  R. Siegler Developmental Sequences within and between Concepts. , 1981 .