Can the Maximin Principle Serve as a Basis for Morality? A Critique of John Rawls's Theory

1975 ◽  
Vol 69 (2) ◽  
pp. 594-606 ◽  
Author(s):  
John C. Harsanyi

It is argued that Rawls does not offer a viable alternative to utilitarian morality. It is shown that the maximin principle would lead to absurd decisions. Thus, it is unfortunate that Rawls bases his theory on the assumption that the maximin principle would serve as decision rule in the original position. The present writer has shown (prior to Rawls's first paper on this subject) that we can obtain a highly satisfactory theory of morality, one in the utilitarian tradition, if we assume that in the original position expected-utility maximization would be used as a decision rule. Rawls's theory is unacceptable because it would force us to discriminate against the legitimate human needs of all individuals enjoying good fortune in any way— whether by being relatively well-to-do, or by being in reasonably good health, or by having good intellectual ability or artistic talent, etc.

2021 ◽  
Author(s):  
isaac davis ◽  
Ryan W. Carlson ◽  
Yarrow Dunham ◽  
Julian Jara-Ettinger

We propose a computational model of social preference judgments that accounts for the degree of an agents’ uncertainty about the preferences of others. Underlying this model is the principle that, in the face of social uncertainty, people interpret social agents’ behavior under an assumption of expected utility maximization. We evaluate our model in two experiments which each test a different kind of social preference reasoning: predicting social choices given information about social preferences, and inferring social preferences after observing social choices. The results support our model and highlight how un- certainty influences our social judgments.


Author(s):  
Armin W. Schulz

A number of scholars argue that human and animal decision making, at least to the extent that it is driven by representational mental states, should be seen to be the result of the application of a vast array of highly specialized decision rules. By contrast, other scholars argue that we should see human and animal representational decision making as the result of the application of a handful general principles—such as expected utility maximization—to a number of specific instances. This chapter shows that, using the results of chapters 5 and 6, it becomes possible to move this dispute forwards: the account of the evolution of conative representational decision making defended in chapter 6 together with the account of the evolution of cognitive representational decision making defended in chapter 5, makes clear that both sides of this dispute contain important insights, and that it is possible to put this entire dispute on a clearer and more precise foundation. Specifically, I show that differentially general decision rules are differentially adaptive in different circumstances: certain particular circumstances favor specialized decision making, and certain other circumstances favor more generalist decision making.


2020 ◽  
pp. 248-250
Author(s):  
Paul Weirich

Recognizing that an act’s risk is a consequence of the act yields a version of expected-utility maximization that does not need adjustments for risk in addition to the probabilities and utilities of possible outcomes. This treatment of an act’s risk justifies the expected-utility principle, and the mean-risk principle, for evaluation of an act. Rational attitudes to risks explain the rationality of acting in accord with the principles. They ground the separability relations that support the principles. The expected-utility principle justifies a substantive, and not just a representational, version of the decision principle of expected-utility maximization. Consequently, the principle governs a single choice and not just sets of choices. It demands more than consistency of the choices in a set. It demands that each choice follow the agent’s preferences, and these preferences explain the rationality of a choice that complies with the principle.


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