Soft science, hard puzzle: can we handle John Roemer´s Justice algorithm?
| Autor | Nuria López |
| Ocupação do Autor | PhD Student at Pontifical Catholic University of São Paulo (PUC/SP). Master of Philosophy of Law at Pontifical Catholic University of São Paulo (PUC/SP) with a CNPq Scholarship |
| Páginas | 1065-1079 |
Special Workshop: e idea of Justice • 1065
Justice algorithm
Nuria López1
Abstract: This article analyzes the Theory of Justice by John Roemer, which
treats Justice as the outcome of a process that is able to maximize the minimum
achievement level of individuals and hold them accountable only for their au-
tonomouschoices excludingthe eectof circumstancesIn otherwords itis
a Justice algorithm. However, the results of the application of this algorithm
leadtocounterintuitiveunfair outcomesThearticle investigatesthethisal-
gorithm’s viability and the philosophic topics that ought to be revised for an
approximation with mathematical models, such as the self-reference in social
sciences; the need to reformulate the concept of the individual; the variables in
decision making and the complexity of life as a totality of games played by a
subjectinaspecicperiodoftime
Keywords: Theory of Justice; Algorithm; Roemer.
Revisiting the classic theme of Justice as Equality, Yale Professor
John E. Roemer concludes that the existing conceptions of equality (of
opportunity) always keep the individual, at some point, from achieving
a goal, and that it is unfair for a goal to be unreachable to someone. How
to make an achievement-position accessible to everyone, then? And
how should we judge who has the right to occupy this position?
The decision making of an individual is composed of several vec-
tors. Some of them can be considered as circumstances and others as au-
tonomous choices. Circumstances are characteristics of the environment
where the individual lives, which he cannot change (for example, his
1
PhD Student at Pontical Catholic University of São Paulo (PUC/SP). Master of Phi-
losophy of Law at Pontical Catholic University of São Paulo (PUC/SP) with a CNPq
Scholarship. Email: nuria.lcs@gmail.com. I would like to gratefully acknowledge Renato
Traldi Dias for the careful revision of this paper.
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