In a recent Mind & Society article, Evans (2005) argues for the social and communicative function of conditional statements. In a related article, we argue for satisficing algorithms for mapping conditional statements onto social domains (Eur J Cogn Psychol 16:807–823,2004). The purpose of the present commentary is to integrate these two arguments by proposing a revised pragmatic cues algorithm for pragmatic conditionals.

Conditional promises and threats are speech acts that aim at changing another person's behavior according to one's own goals. They combine several components on different levels: goals and incentives/penalties on the motivational level, formulations on the linguistic level, obligations on the deontic level, action sequences on the behavioral level, and affective responses on the emotional level. In a cross-cultural study – comparing Germany, China, and the Kingdom of Tonga – we examined the extent to which the cognitive understanding of conditional (...) promises and threats on the various levels is shared across cultures. The results support conceptual universality, but also show that the different components are specifically affected by cultural conventions and values that shape communication styles, moral rules, and attribution tendencies. (shrink)

Two Experiments demonstrate the existence of a “collapse illusion”, in which reasoners evaluate Truthteller-type propositions (“I am telling the truth”) as if they were simply true, whereas Liar-type propositions (“I am lying”) tend to be evaluated as neither true nor false. The second Experiment also demonstrates an individual differences pattern, in which shallow reasoners are more susceptible to the illusion. The collapse illusion is congruent with philosophical semantic truth theories such as Kripke's (1975), and with hypothetical thinking theory's principle of (...) satisficing, but can only be partially accounted for by the model theory principle of truth. Pragmatic effects related to sentence cohesion further reinforce hypothetical thinking theory interpretation of the data, although the illusion and cohesion data could also be accounted for within a modified mental model theory. (shrink)

Conditional constructions (if–then) enable us to express our thoughts about possible states of the world, and they form an important ingredient for our reasoning and argumentative capabilities. Different types and argumentative uses have been distinguished in the literature, but their applicability to actual language use is rarely evaluated. This paper focuses on the reliability of applying classifications of connections between antecedents and consequents of conditionals to discourse, and three issues are identified. First, different accounts produce incompatible results when applied to (...) language data. Second, a discrepancy between theory and data was observed in previous studies, which sometimes discard existing classifications for being detached from actual language use. Finally, language users construct various cognitive relations between clauses of conditionals without being able to rely on overt linguistic features, which poses problems for the annotation of conditionals in argumentation and discourse. This paper addresses these issues by means of comparing theoretical types and actual uses of conditionals, by inspecting the dispersion of types in natural-language corpora, and by conducting an experiment in which the inter-rater reliability of classifications was assessed. The results show that the reliability of classifications of conditionals when applied to language data is low. With respect to the aforementioned issues, different classifications produced incompatible results, a discrepancy between theory and data was indeed observed, and low reliability scores indicated a largely interpretative nature of types of conditionals. Given these results, suggestions for the enhancement of reliability in corpus studies of conditionals and beyond are provided to enhance future classification design. (shrink)

Research on reasoning about consequential arguments has been an active but piecemeal enterprise. Previous research considered in depth some subclasses ofconsequential arguments, but further understanding of consequential arguments requires that we address their greater variety, avoiding the risk of over-generalisation from specific examples. Ideally we ought to be able to systematically generate the set of consequential arguments, and then engage in random sampling of stimuli within that set. The current article aims at making steps in that direction, using the theory (...) of utility conditionals as a way to generate a large set of consequential arguments, and offering one study illustrating how the theory can be used for the random sampling of stimuli. Itis expected that further use of this method will bring more diversity to experimental research on consequential arguments, and more robustness to models of argumentation from consequences. (shrink)