How does the mind resolve moral dilemmas? We considered two models: Greene’s dual process model (DPM) and our computational model of a moral tradeoff system (MTS) (1). We tested their predictions with a repeated trolley-like dilemma that pits the lives of civilians against the lives of soldiers. Unlike other dilemmas, subjects could choose intermediate options, which sacrifice some (but not all) civilians to save more (but not the most) soldiers. We called these choices compromise judgments.
Greene’s title states his central point: The DPM “does not deny that people can make compromise judgments” (2). But he does not mention (or dispute) the central point of our paper: The DPM cannot produce compromise judgments that respect the axioms of rational choice—such as the generalized axiom of revealed preferences (GARP). GARP is an exacting standard of rationality, which applies to a series of judgments made under changing conditions. GARP is satisfied when all these judgments are mutually consistent (p. 7). Rational performance—few if any GARP violations—is a by-product of how the MTS works.
The MTS solves optimization problems. It represents moral preferences via a function, that maps solutions (e.g., save 2M civilians and 3M soldiers) onto levels of moral rightness. Given a set of solutions, the MTS uses this “rightness function” to compute which available solution is most right.
When moral incentives change (e.g., the number of soldiers saved per civilian sacrificed), the set of available solutions changes too. But each time that happens, the MTS computes the optimal solution. Always computing the best solution creates a series of judgments that respect GARP—whether these judgments are compromises or not.
That is what we found. Most subjects made judgments that respected GARP, even when they chose compromise solutions and no matter how many compromises they chose.
We considered many alternative hypotheses: None produced compromise judgments that respect GARP—including the DPM. The DPM can respond to moral incentives, as Greene says (2, 3). But this cannot, by itself, produce rational performance. As we demonstrated (pp. 8–9), responding to incentives produces many GARP violations—not the median of zero violations found for subjects who made compromise judgments.
Greene proposed (4, 5) that the prospect of killing innocents activates an “alarm emotion” prohibiting harm—not a “currency emotion” that can be weighed against other values (such as saving the most lives). This implies no compromise judgments (they require a currency emotion). He called for an empirical test (5), which we did: Most people made compromise judgments—many.
Let us assume a different DPM, that permits compromise judgments; Greene cites ref. 6. But this paper on “integrative moral judgment” never discusses compromises. It tests the moral acceptability of extreme judgments, especially utilitarian ones. Would compromises result when acceptability is low? Intermediate? How many civilians should die? The model is too underspecified to know; it claims that aversive emotions and utilitarian assessments “are integrated.” This DPM offers no optimization process—no mechanism that produces rational performance when compromises are chosen (pp. 8–10).
No version of the DPM—not ref. 5, not ref. 6—can explain what the MTS model predicts: compromise judgments that respect GARP.

Acknowledgments

Author contributions

L.C., M.T.B., D.S., and R.A.G. designed research; M.T.B., D.S., and R.A.G. performed research; L.C., M.T.B., and R.A.G. analyzed data; and L.C., M.Á.L., and R.A.G. wrote the paper.

Competing interests

The authors declare no competing interest.

References

1
R. A. Guzmán, M. T. Barbato, D. Sznycer, L. Cosmides, A moral trade-off system produces intuitive judgments that are rational and coherent and strike a balance between conflicting moral values. Proc. Natl. Acad. Sci. U.S.A. 119, e2214005119 (2022).
2
J. D. Greene, The dual-process theory of moral judgment does not deny that people can make compromise judgments. Proc. Natl. Acad. Sci. U.S.A. 120, e2220396120 (2023).
3
A. Shenhav, J. D. Greene, Moral judgments recruit domain-general valuation mechanisms to integrate representations of probability and magnitude. Neuron 67, 667–677 (2010).
4
J. D. Greene, “The secret joke of Kant’s soul” in Moral Psychology, W. Sinnott-Armstrong, Ed. (MIT Press, 2008), vol. 3, pp. 35–80.
5
F. Cushman, J. D. Greene, Finding faults: How moral dilemmas illuminate cognitive structure. Soc. Neurosci. 7, 269–279 (2012).
6
A. Shenhav, J. D. Greene, Integrative moral judgment: dissociating the roles of the amygdala and ventromedial prefrontal cortex. J. Neurosci. 34, 4741–4749 (2014).

Information & Authors

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Published in

Go to Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences
Vol. 120 | No. 24
June 13, 2023
PubMed: 37279262

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Submission history

Published online: June 6, 2023
Published in issue: June 13, 2023

Acknowledgments

Author Contributions
L.C., M.T.B., D.S., and R.A.G. designed research; M.T.B., D.S., and R.A.G. performed research; L.C., M.T.B., and R.A.G. analyzed data; and L.C., M.Á.L., and R.A.G. wrote the paper.
Competing Interests
The authors declare no competing interest.

Authors

Affiliations

Department of Psychological and Brain Sciences, Center for Evolutionary Psychology, University of California, Santa Barbara, CA 93106-9660
María Teresa Barbato
Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Santiago 7610658, Chile
Department of Psychology, Oklahoma Center for Evolutionary Analysis, Oklahoma State University, Stillwater, OK 74078-3064
Miguel Ángel Labarca
Department of Psychological and Brain Sciences, Center for Evolutionary Psychology, University of California, Santa Barbara, CA 93106-9660
Ricardo Andrés Guzmán2,1 [email protected]
Centro de Investigación en Complejidad Social, Facultad de Gobierno, Universidad del Desarrollo, Santiago 7610658, Chile

Notes

2
To whom correspondence may be addressed. Email: [email protected].
1
L.C. and R.A.G. contributed equally to this work.

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