The Truth Behind Errors of Reasoning. Cognitive Fallacies as a Matter of Conceptual Coherency - Patrick Kühnel - E-Book

The Truth Behind Errors of Reasoning. Cognitive Fallacies as a Matter of Conceptual Coherency E-Book

Patrick Kühnel

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Beschreibung

Scientific Essay from the year 2015 in the subject Psychology - Cognition, , language: English, abstract: Traditionally, research on cognitive fallacies has pursued a normative approach, mainly aiming at identifying the main influences that lead to erroneous response behavior such as, for example, belief bias and confirmation bias, both of which have been shown to correlate with strategies of argumentation and motivational factors. Although it seems natural to view cognitive fallacies as a deficient form of reasoning or an effect of misplaced “gut instinct”, there is good reason to assume that so-called cognitive fallacies are actually a natural side effect of the attempt of the human mind to create a coherent scenario when the available input is ambiguous enough to allow for the construction of various conceptual metaphors to serve as a guiding mindset for the process of reasoning. In this paper I will reexamine previous explanations in the field of cognitive fallacies in order to shed new light on the psychological mechanisms behind erroneous response behavior by further developing ideas from metaphor theory (cf. Lakoff, /Núñez 2000) and mental space theory (cf. Fauconnier 1985).

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Veröffentlichungsjahr: 2016

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Summary

Traditionally, research on cognitive fallacies has pursued a normative approach, mainly aiming at identifying the main influences that lead to erroneous response behavior such as, for example, belief bias and confirmation bias (Klayman 1995), both of which have been shown to correlate with strategies of argumentation and motivational factors (White/Brockett/

Overstreet (1993); Wolfe/Britt (2008); Oswald/Grosjean (2004).

Many other related studies rely on the dual process theory, according to which the human cognitive system is based on modes of operation, very often simply termed intuition and reasoning (cf. Stanovich 1999; Evans/Over 1996; Evans 2012; Kahneman 2003, 2011). Contrary to folk psychology, a person’s susceptibility to premature conclusions, or the likelihood of being led astray by salient mindsets, doesn’t seem to correlate with a person’s general problem solving ability (Stanovich/West/Toplak 2013). Although it seems natural to view cognitive fallacies as a deficient form of reasoning or an effect of misplaced “gut instinct”, these explanations mostly neglect the fact that even persons who fall victim to logical fallacies usually consider their line of reasoning completely consistent with the general rules of deduction.

There is good reason to assume that so-called cognitive fallacies are actually a natural side effect of the attempt of the human mind to create a coherent scenario when the available input is ambiguous enough to allow for the construction of various conceptual metaphors to serve as a guiding mindset for the process of reasoning. Crucial in this process is the capability of the conceptual system to refer to and operate on concepts while postponing or even disregarding the determination of their semantical content. This idea is captured in Fauconnier’s (1994) Access Principle which, in simple terms, claims that an entity in one particular mental space (e.g. reality space) can be referred to in terms of the corresponding entity in a different mental space (e.g. built space) even if both entries differ semantically.

It will be shown that it might subjectively seem necessary to make flexible use of reference strategies based on mental spaces in order to integrate conflicting pieces of information into a coherent scenario. Evidently, the cognitive effort needed to determine and to apply the necessary strategies correlates negatively with the amount of relevant prior knowledge and general intelligence. This would allow for ascribing certain types of cognitive fallacies to very specific mental processes.

In the first part of this analysis, I give a brief overview of well-known reasoning errors and present several feasible approaches that are commonly believed to explain these errors.

The second part sketches the manner in which conceptual metaphors may be involved in the shaping and guiding of formal reasoning processes. The sticking point is the mapping of linguistically presented information onto spatial relations.

In the third part, I use a study conducted by Evans (2004) to show why standard explanations — which commonly argue for a temporary impairment of the reasoning faculty caused by seemingly unrelated factors (e.g. belief bias) — fail to account for the fact that some test persons obviously value believability of the presented information more than logical coherence.

The fourth part explains the plausibility of logical fallacies using insights from metaphor theory and mental space theory. The main idea is that the construction of mental spaces on which linguistic information can be adequately mapped is a rather complex and costly task. Particularly in those cases where the second alternative calls for conceptual reframing of the metaphorical basis, it might seem cognitively less expensive to map a TYPE (role) on a TYPE, or an INDIVIDUAL (value) on an INDIVIDUAL (value) rather than switching between the two modes, even if this would be formally stipulated.

In any case, I postulate that the construing of the given information is guided by the desire to establish a coherent scenario (making sense). As the capacity to (temporarily) process specific and nonspecific reference to an argument in a parallel fashion requires huge mental resources, individual differences in processing speed and short-term memory matter when it comes to maintaining the individual mapping paradigm under difficult circumstances — i.e. when quantifiers impede the referencing of arguments. From that perspective, cognitive fallacies appear to be instances of unrequested conceptual structures being consequently applied, rather than of a generally poor reasoning ability. This becomes obvious if one takes into account, that the appropriate, i.e. logically consistent line of deduction heavily relies on conceptual metaphors that are not necessarily accounted for by the context in which the problem is presented.

Keywords: metaphor, bias, mental space, cognitive fallacies, false conclusions

Content

 

Summary

1. Introduction

2. The Metaphorical Foundation of Formal Rules of Derivation

3. Example: Belief Bias

4. Cognitive Representations of Syllogisms

5. Conclusion

6. Literature

 

1. Introduction

 

It is a well-known fact that an individual’s ability to draw logically correct conclusions from given information does not only depend on the content but also on type of the assignment. In particular, it has been demonstrated that the correctness of syllogistic conclusions strongly correlates with the extent that the factual content of the respective assignment is considered subjectively credible (Evans 1983, 2002, 2004; Evans/Newstead/Byrne 1993; Manktelow 1999). Some authors (Stanovich 1999; Evans/Over 1996; Evans 2012; Kahneman 2003, 2011) have pointed out that the human cognitive system has two operating modes competing with each other for resources:

 

System 1: A fast-working system based on knowledge and experience functioning via associative learning. In this work mode, each problem leads to the reconstruction of an experience-based context, which then allows for embedding this problem.

 

System 2: A more slowly working, abstract-formal system that in general requires higher intelligence and is associated with greater cognitive effort. [1]

 

Although both systems are optimized for different problem situations, it is not a rare occurrence that formal syllogistic conclusions often are superimposed by inferences from reconstructed contexts and results are “distorted”. The classical experiment by Wason (Wason 1968; Wason/Johnson-Laird 1972) can illustrate such a cognitive interference. Test subjects were presented with four cards imprinted with symbols:

 

Fig. 1: Wason Selection Task

 

 

At the same time, the subjects were told the following rule with regard to the imprinted symbols:

 

When one side of the cards is depicting an A, the other side will have a 3.

 

Subsequently, test subjects are supposed to pick two cards that they consider necessary to turn over in order to confirm this rule. Although the validity of a conditional A  B is equivalent to⊣B ⊣A and consequently can only be confirmed with the first and fourth card, just a small proportion of the test participants chose this possibility, while the majority chose the first and the third card. There are a number of explanations for this wrong conclusion: Klayman (1995) postulates the tendency to interpret given data in the light of one’s own hypothesis (confirmation bias or myside bias). This phenomenon could be established in different contexts, whereby the intensity of its expression was shaped in particular by argumentation strategy and motivational factors (White/Brockett/Overstreet. (1993); Wolfe/Britt (2008); Oswald/Grosjean (2004), but seemed independent of the overall cognitive abilities (Stanovich/West/Toplak 2013).

 

Based on their own experiments, Evans/Lynch (1973) draw the conclusion that the more salient information (A and 3) with regard to assignment structure is preferred in most every-day-situations. This is due to the lesser cognitive effort, respectively better efficiency of such strategies (matching bias, see also Evans 2003). Evans/Barston/Pollard (1983) documented that a higher order of textual plausibility of conclusions in test items would influence the test subjects to accept these even when logically inadmissible (belief bias). Moreover, Evans (2004, p. 142) speculates that the test subjects resort to a default strategy taken from everyday parlance and in analogy to it incorrectly interpret the conditional as bi-conditional also in classic syllogisms:

 

(1) If he is over 18 years of age, then he is entitled to vote.