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Intuition versus Reason: Strategies that People Use to Think about Moral Problems - eScholarship

2013· article· en· W2766399154 sur OpenAlexaboutno aff
Mark Fedyk, Barabara Koslowski

Notice bibliographique

RevueProceedings of the Annual Meeting of the Cognitive Science Society · 2013
Typearticle
Langueen
DomaineNeuroscience
ThématiquePsychology of Moral and Emotional Judgment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIntuitionPsychologySalientMoral reasoningCognitionSocial psychologyEpistemologyCognitive scienceArtificial intelligenceComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Intuition versus Reason: Strategies that People Use to Think about Moral Problems Mark Fedyk (mfedyk@mta.ca) Department of Philosophy, Mount Allison University Sackville, NB, E4L 1G9, Canada Barbara Koslowski (bmk2@cornell.edu) Department of Human Development, Cornell University Ithaca, NY, 14853, USA Abstract We asked college students to make judgments about realistic moral situations presented as dilemmas (which asked for an either/or decision) vs. problems (which did not ask for such a decision) as well as when the situation explicitly included affectively salient language vs. non-affectively salient language. We report two main findings. The first is that there are four different types of cognitive strategy that subjects use in their responses: simple reasoning, intuitive judging, cautious reasoning, and empathic reasoning. We give operational definitions of these types in terms of our observed data. In addition, the four types characterized strategies not only in the whole sample, but also in all of the subsamples in our study. The second finding is that the intuitive judging type comprised approximately 26% of our respondents, while about 74% of our respondents employed one of the three styles of reasoning named above. We think that these findings present an interesting challenge to models of moral cognition which predict that there is either a single, or a single most common, strategy – especially a strategy of relying upon one’s intuitions – that people use to think about moral situations. Keywords: Moral Judgment; Moral Reasoning; Verbal Behavior; Cognitive Strategies. Introduction A significant amount of the recent and most influential research in adult moral psychology has focused on the intuitive processes that are frequently represented as the main sort of cognition that occurs when people are asked to make moral judgments about moral situations. This intuition-focused research frequently relies upon so-called “trolley dilemmas” to elicit this intuitive cognition in research participants. Trolley dilemmas are easy-to- understand fictional moral situations that present an either/or choice between one of two ethically appealing courses of action. Participants are asked to decide one of the two courses of action, and this decision is customarily treated as a paradigmatic representation of a moral judgment. (Mikhail, Sorrentino, & Spelke 1998, Mikhail 2012, Nichols & Mallon 2006, Cushman & Greene 2012) In one of the better-known lines of research in this area, Mikhail (2007) proposes that an innate and subconscious ‘universal moral grammar’ determines the semantic content of people’s moral judgments. The universal moral grammar is defined using the concepts of deontic logic augmented with a variety of psychological concepts like ‘intentional action’. Moreover, the computations that the universal moral grammar is hypothesized to perform and that generate moral judgment are entirely intuitive. Thus, evidence for the existence of the universal moral grammar comes from studies in which subject’s intuitive decisions about trolley dilemmas are shown to be consistent with theoretical predictions about the content and logical structure of the moral grammar. (Mikhail 2008, Mikhail 2012) Similarly, Waldmann and Dieterich (2007) argue that the content of moral judgments about trolley dilemmas and similar moral situations is determined by a different kind of intuitive knowledge, namely knowledge of a causal map. This map symbolizes causal pathways in the moral situation that a person is considering, dividing the causal pathways into those that involve agents and patients and those that do not. Agents play an active role in realizing a harmful effect, and patients experience the harmful effects caused by agents. Accordingly, the either/or choice at the heart of the situation is intuitively represented as choice between two actions (interventions), each of which can alter in different ways the causal relations that hold between agents and patients. Waldmann and Dieterich test whether a “focus on action may sometimes lead to what we call intervention myopia”, such that people will focus primarily on interventions on causal pathways involving patients and agents, and focus less on interventions on causal pathways that do not involve agents and patients. (Waldmann and Dieterich 2007) Their data leads them to conclude, “the locus of intervention is one key factor contributing to moral intuitions.” That may be, but the important point for our purposes is that, like Mikhail’s theory, Waldmann and Dieterich’s proposal is that judgments about moral either/or choices are computed by intuitive cognitive processes. We mention these studies in some detail because we want to use them as evidence for the following claim: if you want to “nudge” subjects towards using intuitive cognitive processes to produce moral judgments about moral situations, one approach which seems likely to have this effect is to present subjects with a moral situation that embeds an explicit either/or choice – that is, a moral dilemma. After all, both studies described above are examples of experimental subjects producing moral intuitions in response to situations that contain explicit either/or choices, and there are many other studies like this. (Lombrozo 2009)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,031
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,031
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,005
Communication savante0,0060,006
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,100
Tête enseignante GPT0,291
Écart entre enseignants0,191 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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Même revueProceedings of the Annual Meeting of the Cognitive Science SocietyMême sujetPsychology of Moral and Emotional JudgmentTravaux en français237 207