Judgment as the Imagination of Futures: Practical Rationality in Decisions on Complex Issues

Author(s):  
Michael J. Mazarr

The field of judgment and decision making has seen an explosion of research and analyses since the 1990s, notably in five closely related fields: Rational choice and its variants, the concept of intuition, “dual process” theories, the “heuristics and biases” literature, and the concept of “naturalistic” decision making. Yet none of these theories captures—by design or because of the limits of the approach—the actual mechanism by which emergent judgment occurs on complex decisions. Such decisions are non-optimizable and guided by multiple and often conflicting objectives and values; their outcomes will flow from the nonlinear interaction of many variables whose causal relationships are poorly understood. As a result, critical assumptions of many classical decision making models cannot be met in such situations, and the default approach relies not so much on calculative decision making as on instinctive judgment. This term implies a mechanism that is less calculative and consequentialist that it is imaginative, creative, and unconscious. Emergent, largely intuitive judgment is the only mechanism appropriate to such complex, nonlinear situations in which both an objective maximization of utilities and an accurate assessment of likely consequences are impossible. The concept of judgment broadly defined, as a form of unconscious, emergent, and imaginative interpretation of facts and events, offers the best model for how decision makers approach non-optimizable situations.

Author(s):  
Keith E. Stanovich ◽  
Richard F. West ◽  
Maggie E. Toplak

Because the operationalization of rational thinking comes from the heuristics and biases tradition, this chapter explicates the logic of heuristics and biases tasks in terms of contemporary theories of the functional architecture of the human mind. A tripartite model of the mind is described that is based on current dual-process theories. With this model as a framework, it is easy to see that the concept of rationality and the concept of intelligence are two different things. Rationality is actually a more encompassing mental construct than is intelligence. Thus, as measures of rationality, the tasks in the heuristics and biases literature, while tapping intelligence in part, actually encompass more cognitive processes and knowledge than are assessed by IQ tests.


2008 ◽  
Vol 31 (4) ◽  
pp. 444-445 ◽  
Author(s):  
Kenny R. Coventry

AbstractThe consideration of gambling as a decision-making disorder may fail to explain why the majority of people gamble, yet only a small percentage of people lose control of their behaviour to the point where their gambling becomes problematic. The application of dual process theories to gambling addiction offers a means of explaining the differences between “normal” and “problem” gambling, augmenting the multiple vulnerabilities proposed by Redish et al.


2019 ◽  
Author(s):  
Peiying Jin ◽  
Yao Wang ◽  
Yun LI ◽  
Yunhua Xiao ◽  
Chunyan Li ◽  
...  

Abstract Background: Fairness, as a core component of moral society, has received much attention. At present, there are inconsistencies in the findings regarding the fair decision-making of high-functioning autism spectrum disorder (HF-ASD). Previous studies have shown that the fair decision-making of typically developing children is influenced by theory of mind(ToM) and executive function(EF).Dual-process theories propose that both intuitive processes and reasoning processes participate in fair decision-making. As those with HF-ASD have defects in both domains, this study aims to explore the differences in fair decision-making between children and adolescents with HF-ASD and those with typical development (TD). Methods: We used a mini ultimatum game (mini-UG) to explore 31 children and adolescents with HF-ASD and 38 children and adolescents with TD. Ttests and chi-square tests are used to compare group differences, Pearson correlation analysis and stepwise regression analysis was used to analyse the influencing mechanism of the two groups' unfair acceptance rates. Results: The results showed that children with HF-ASD were more likely to accept unfair offers, but when it came to adolescents, the difference was no longer significant. Regression analysis showed that the interaction between the Behavioral Regulation Index(BRI) and age could negatively predict the unfair acceptance rate of children and adolescents with HF-ASD. Working memory and ToM can negatively predict the unfair acceptance rate of those with TD. Conclusion: This study concluded that the development of fair decision-making by children and adolescents with HF-ASD fell far behind that of those with TD. Intuition processes play a dominant role in the fair decision-making processes of children and adolescents with HF-ASD, and we believe that comorbidity, age, experience and emotional management are important factors influencing the fair decision-making of individuals with HF-ASD.


2019 ◽  
Vol 22 ◽  
Author(s):  
Adele Diederich ◽  
Wenjia Joyce Zhao

Abstract Dual process theories of decision making describe choice as the result of an automatic System 1, which is quick to activate but behaves impulsively, and a deliberative System 2, which is slower to activate but makes decisions in a rational and controlled manner. However, most existent dual process theories are verbal descriptions and do not generate testable qualitative and quantitative predictions. In this paper, we describe a formalized dynamic dual process model framework of intertemporal choice that allows for precise, experimentally testable predictions regarding choice probability and response time distributions. The framework is based on two-stage stochastic process models to account for the two postulated systems and to capture the dynamics and uncertainty involved in decision making. Using quasi closed form solutions, we illustrate how different factors (timing of System 1, time constraint, and preferences in both systems), which are reflected in the model parameters, influence qualitative and quantitative model predictions. Furthermore, we show how an existing static-deterministic model on intertemporal choice can be implemented in the framework allowing for testable predictions. The proposed framework can bring novel insights into the processes underlying intertemporal choices.


2014 ◽  
Vol 37 (1) ◽  
pp. 26-27 ◽  
Author(s):  
Jonathan St. B. T. Evans

AbstractThroughout this article the authors presume – without justification – that decision making must be a conscious process unless proved otherwise, and they place an unreasonably strict burden of proof on anyone wishing to claim a role for unconscious processing. In addition, I show that their arguments do not, as implied here, impact upon contemporary dual-process theories of reasoning and decision making.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.


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