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Why do humans reason? Arguments for an argumentative theory

Why do humans reason? Arguments for an argumentative theory

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Response/Mercier & Sperber: <strong>Why</strong> <strong>do</strong> <strong>hum<strong>an</strong>s</strong> <strong>reason</strong>?implementation of <strong>reason</strong>ing, but this was not the subjectmatter of our article, <strong>an</strong>d, to be c<strong>an</strong>did, we are still in theprocess of working out these implications satisfactorily. Atfirst blush, moreover, the <strong>argumentative</strong> approach <strong>do</strong>esnot imply a single, narrow characterization of thisimplementation. We there<strong>for</strong>e acknowledge this presentlimitation of our contribution that in particular Khlentzos& Stevenson have underscored, <strong>an</strong>d we are grateful <strong>for</strong>the positive suggestions of several commentators.Oaks<strong>for</strong>d’s Bayesi<strong>an</strong> probabilistic approach (para. 4)allows <strong>for</strong> a fine-grained <strong>an</strong>alysis of argument strength<strong>an</strong>d of the ch<strong>an</strong>ges in degree of beliefs they warr<strong>an</strong>t.Like ours, this a computational <strong>theory</strong>, but it specifies aproximal function – how to ch<strong>an</strong>ge our beliefs in responseto arguments – rather th<strong>an</strong> <strong>an</strong> ultimate one. As a consequence,it has the potential of taking us one step furtherin the direction of <strong>an</strong> algorithmic <strong>theory</strong>.Dessalles points out the sequential nature of <strong>reason</strong>ing,<strong>an</strong>d asks how the <strong>argumentative</strong> <strong>theory</strong> c<strong>an</strong> account <strong>for</strong>this feature. First, it is import<strong>an</strong>t to mention that even ifthe explicit part of <strong>reason</strong>ing is sequential – we makeonly one argument step at a time – other processeswithin <strong>reason</strong>ing (such as argument search) may wellwork in a parallel fashion. The sequential nature of explicit<strong>reason</strong>ing c<strong>an</strong> be explained by its linguistic character (thatmight not be necessary <strong>for</strong> pure solitary <strong>reason</strong>ing if itexists, but that c<strong>an</strong>not be bypassed in argumentation),l<strong>an</strong>guage itself being sequential, <strong>for</strong> several <strong>reason</strong>s unrelatedto <strong>reason</strong>ing or argumentation (Pinker & Bloom1990; see also Carruthers 1996).Wiles mentions abduction as a plausible mech<strong>an</strong>ismthrough which <strong>reason</strong>ing could find arguments. Shepoints to other psychological mech<strong>an</strong>isms that also relyon abduction, such as spatial navigation, suggesting that<strong>reason</strong>ing might have been exapted from these mech<strong>an</strong>isms.However, given that <strong>reason</strong>ing deals with inputs<strong>an</strong>d outputs that are very different from those of theseother systems, the possibility of <strong>an</strong> evolutionary exaptationscenario remains very speculative. This <strong>do</strong>es not me<strong>an</strong> thatthese other mech<strong>an</strong>isms have nothing to teach students of<strong>reason</strong>ing. To the extent that the problems solved by, <strong>for</strong>example, mech<strong>an</strong>isms of spatial navigation are similar tothe problem facing <strong>reason</strong>ing – finding <strong>an</strong> acceptableargument within a large set of potentially relev<strong>an</strong>t propositions– then, as suggested by Wiles’s commentary, wec<strong>an</strong> expect commonalities in the solutions used in bothcases (<strong>for</strong> further elaboration on this point, see Mercier,submitted a).Ulem<strong>an</strong> et al. present interesting evidence <strong>an</strong>d argumentson intuitive (or “spont<strong>an</strong>eous”) inferences. Weagree that these inferences constitute most of cognition,<strong>an</strong>d that they influence which arguments are used <strong>an</strong>dhow they are evaluated. We agree moreover that muchmore must be <strong>do</strong>ne on the relationship between intuitiveinference <strong>an</strong>d <strong>reason</strong>ing, even if much relev<strong>an</strong>t work hasalready been <strong>do</strong>ne in the framework of dual-systemapproaches to <strong>reason</strong>ing.Finally, Weber & Johnson offer a process-level specificationof how <strong>reason</strong>ing works in decision making. Accordingto their <strong>theory</strong> – query <strong>theory</strong> – particip<strong>an</strong>ts facing adecision query their memory <strong>for</strong> relev<strong>an</strong>t in<strong>for</strong>mation orexperiences. Two features of this <strong>theory</strong> are particularlyrelev<strong>an</strong>t in the context of the <strong>argumentative</strong> <strong>theory</strong>.First, as a result of this process, “choice follows from theresulting bal<strong>an</strong>ce of evidence,” so that this <strong>theory</strong> predicts<strong>reason</strong>-based choice. The second import<strong>an</strong>t point is that“the first query produces richer representations becauseof output interference” (para. 5). To the extent thatfurther queries might represent perspective that are lesscongenial to the individual – <strong>for</strong> inst<strong>an</strong>ce, trying to seethe problem from someone else’s perspective – a mech<strong>an</strong>ismthat favors the first query c<strong>an</strong> create a <strong>for</strong>m of confirmationbias. Given that query <strong>theory</strong> predicts <strong>reason</strong>basedchoice <strong>an</strong>d that it might also explain some <strong>for</strong>msof confirmation bias, it is quite congenial to the <strong>argumentative</strong>approach. However, rather th<strong>an</strong> being a question of“intrapsychic <strong>an</strong>d interpersonal argumentation” (para. 8),as Weber & Johnson suggest, the question c<strong>an</strong> perhapsbe more usefully framed as a difference in level of <strong>an</strong>alysis.We believe that query <strong>theory</strong> could also help explainaspects of interpersonal argumentation – how we findarguments – whereas the <strong>argumentative</strong> <strong>theory</strong> alsomakes predictions regarding intrapsychic phenomena –such as <strong>reason</strong>-based choice. The difference is thatquery <strong>theory</strong> offers predictions based on the workings of<strong>reason</strong>ing, whereas the <strong>argumentative</strong> <strong>theory</strong> offers predictionsbased on the function of <strong>reason</strong>ing. Given thatthey are not at the same level, these expl<strong>an</strong>ations <strong>do</strong> notcompete. Assume, <strong>for</strong> inst<strong>an</strong>ce, that <strong>reason</strong>-based choiceis entirely due to the processes delineated in query<strong>theory</strong>. We would still need to underst<strong>an</strong>d why thisprocess is there in the first place, <strong>an</strong>d why the outcomesof such a process are generally adaptive – questions thatthe <strong>argumentative</strong> <strong>theory</strong> aims at <strong>an</strong>swering.Another way to better underst<strong>an</strong>d the processes of<strong>reason</strong>ing is through modeling. Fox’s Logic of Argumentis a possible solution that is congenial to our proposalbecause it dist<strong>an</strong>ces itself from <strong>for</strong>mal logic to encompassthe subtleties of argument structure. The fields of AI <strong>an</strong>din<strong>for</strong>mal logic are now teeming with models of argumentsthat c<strong>an</strong> be conveniently simulated on computers, <strong>an</strong>d thisis certainly <strong>an</strong> interesting way to develop <strong>for</strong> <strong>an</strong>y <strong>theory</strong> of<strong>reason</strong>ing or argumentation.R4.2. Reasoning outside the labThe target article focused its review on experimentscarried out in the laboratory, mostly with Westerncollege students. Narvaez rightly points out the limitationsof such a narrow focus. In their review of cross-culturalpsychology work, Henrich et al. (2010) have shownthat in m<strong>an</strong>y <strong>do</strong>mains WEIRD people – people fromwestern educated industrialized rich democraticcountries – behave in ways that are different from therest of the world (para. 9). In the case of <strong>reason</strong>ing <strong>an</strong>dargumentation, scholars have hypothesized that suchskills are a mostly Western tradition, born in classicalGreece <strong>an</strong>d nurtured in the Enlightenment. It wouldindeed by a deadly blow to the <strong>theory</strong> if some cultureswere unwilling to argue or unable to <strong>reason</strong>. Happily <strong>for</strong>us (<strong>an</strong>d <strong>for</strong> these cultures), the available data <strong>do</strong> notpoint in that direction. While there certainly are differencesin <strong>reason</strong>ing <strong>an</strong>d <strong>argumentative</strong> style (e.g., seeNorenzay<strong>an</strong> et al. 2002), there is no report of a culturethat would be deprived of these skills. The two most frequentlyalleged cases are illiterate societies – which aresupposed to be unable to <strong>reason</strong> – <strong>an</strong>d Eastern cultures –which are supposed to be unwilling to argue. Yet members100 BEHAVIORAL AND BRAIN SCIENCES (2011) 34:2

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