Memetic Sophistry

Over at the Psychology Today blog complex, Joseph Carroll is taking Norman Holland to task on remarks that Holland made concerning the relationship between the reader of a literary text and the text itself. Though I disagree with Carroll on many matters, I agree with him on this one particular issue. Beyond that, I think his critique of Holland can also be applied to Susan Blackmore’s equivocations on memes. Here’s what Carroll says about Holland:

This whole way of thinking is a form of scholastic sophistry, useless and sterile. It produces verbal arguments that consist only in fabricated and unnecessary confusions, confusions like that which you produce as your conclusion in the passage you cited from your book: “the reader constructs everything” (p. 176). This conclusion seems plausible because it slyly blends two separate meanings of the word “constructs.” One meaning is that our brains assemble percepts into mental images. That meaning is correct. The other meaning is that our brains assemble percepts that are not radically constrained by the signals produced in the book. That meaning is incorrect. Once you have this kind of ambiguity at work for you, you can shuffle back and forth between the two meanings, sometimes suggesting the quite radical notion that books don’t “impose” any constraints—any meanings—on readers; and sometimes retreating into the safety of the correct meaning: that our brains assemble percepts.

Blackmore equivocates in a similar fashion on the question of whether or not memes are active agents. Here’s a snippet from a TED talk she gave last year:

The way to think about memes, though, is to think, why do they spread? They’re selfish information, they get copied if they can. But some of them will be copied because they’re good, or true, or useful, or beautiful. Some of them will be copied even though they’re not. Some, it’s quite hard to tell why.

Here she talks of memes as though they are agents of some kind, they’re selfish and they try to get copied. A bit later she says:

So think of it this way. Imagine a world full of brains and far more memes than can possibly find homes. The memes are trying to get copied, trying, in inverted commas, i.e., that’s the shorthand for, if they can get copied they will. They’re using you and me as their propagating copying machinery, and we are the meme machines.

Here memes are using us as machines for propagating themselves. And then we have this passage where she talks about a war between memes and genes:

So you get an arms race between the genes which are trying to get the humans to have small economical brains and not waste their time copying all this stuff, and the memes themselves, like the sounds that people made and copied – in other words, what turned out to be language – competing to get the brains to get bigger and bigger. So the big brain on this theory of driven by the memes.

The term “meme,” as we know, was coined by Richard Dawkins, who is also responsible for anthropomorphizing genes as selfish agents in biological evolution. Dawkins knows perfectly well that genes aren’t agents, and is quite capable of explicating that selfishness in terms that eliminate the anthropomorphism, which is but a useful shorthand, albeit a shorthand that has caused a great deal of mischief.

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More on Phoneme Inventory Size and Demography

On the basis of Sean’s comment, about using a regression to look at how phoneme inventory size improved as geographic spread was incorporated along with population size, I decided to look at the stats a bit more closely (original post is here). It’s fairly easy to perform multiple regression in R, which, in the case of my data, resulted in highly significant results (p<0.001) for the intercept, area and population (residual standard error = 9.633 on 393 degrees of freedom; adjusted R-Squared = 0.1084). I then plotted all the combinations as scatterplots for each pair of variables. As you can see below, this is fairly useful as a quick summary but it is also messy and confusing. Another problem is that the pairs plot is on the original data and not the linear model.

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Language, Thought and Space (I): Lumpers and Splitters

There have been some very interesting discussions of the relationship between language and thought recently, including for example, Sean’s absolutely fascinating series of posts about the evolution of colour terms,  a great post on descriptions of motion in different languages over at the lousy linguist (here), Guy Deutscher’s article “Does Your Language Shape How You Think?” (for discussions, see e.h. here and here), a slightly less recent piece by Lera Boroditsky in the Wall Street Journal, and an excellent recent discussion of her article by Mark Liberman (here). (see also James’ post, including a great/terrible joke about Whorf).

One of the things that Deutscher wrote in his article was that:

“The area where the most striking evidence for the influence of language on thought has come to light is the language of space — how we describe the orientation of the world around us.”

As I’ve written a bit about this topic on my other blog, Shared Symbolic Storage, I’ll repost a short series of posts over the next couple of days.
As Deutscher said, this is a very fascinating avenue of linguistic research that gives much insight into the nature of language and cognition as well as their relationship. In addition, it also presents us with new facts and considerations we have to take into account when we think about how language and cognition evolved.

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Two new Greenhill Papers

Simon Greenhill has just announced two new papers on applying phylogenetic techniques to the study of culture. No doubt I’ll be blogging about these at some point in the future. Below are the abstracts:

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Phoneme Inventory Size and Demography

It’s long since been established that demography drives evolutionary processes (see Hawks, 2008 for a good overview). Similar attempts are also being made to describe cultural (Shennan, 2000; Henrich, 2004; Richerson & Boyd, 2009) and linguistic (Nettle, 1999a; Wichmann & Homan, 2009; Vogt, 2009) processes by considering the effects of population size and other demographic variables. Even though these ideas are hardly new, until recently, there was a ceiling as to the amount of resources one person could draw upon. In linguistics, this paucity of data is being remedied through the implementation of large-scale projects, such as WALS, Ethnologue and UPSID, that bring together a vast body of linguistic fieldwork from around the world. Providing a solid direction for how this might be utilised is a recent study by Lupyan & Dale (2010). Here, the authors compare the structural properties of more than 2000 languages with three demographic variables: a language’s speaker population, its geographic spread and the number of linguistic neighbours. The salient point being that certain differences in structural features correspond to the underlying demographic conditions.

With that said, a few months ago I found myself wondering about a particular feature, the phoneme inventory size, and its potential relationship to underlying demographic conditions of a speech community. What piqued my interest was that two languages I retain a passing interest in, Kayardild and Pirahã, both contain small phonological inventories and have small speaker communities. The question being: is their a correlation between the population size of a language and its number of phonemes? Despite work suggesting at such a relationship (e.g. Trudgill, 2004), there is little in the way of empirical evidence to support such claims. Hay & Bauer (2007) perhaps represent the most comprehensive attempt at an investigation: reporting a statistical correlation between the number of speakers of a language and its phoneme inventory size.

In it, the authors provide some evidence for the claim that the more speakers a language has, the larger its phoneme inventory. Without going into the sub-divisions of vowels (e.g. separating monophthongs, extra monophtongs and diphthongs) and consonants (e.g. obstruents), as it would extend the post by about 1000 words, the vowel inventory and consonant inventory are both correlated with population size (also ruling out that language families are driving the results). As they note:

That vowel inventory and consonant inventory are both correlated with population size is quite remarkable. This is especially so because consonant inventory and vowel inventory do not correlate with one another at all in this data-set (rho=.01, p=.86). Maddieson (2005) also reports that there is no correlation between vowel and consonant inventory size in his sample of 559 languages. Despite the fact that there is no link between vowel inventory and consonant inventory size, both are significantly correlated with the size of the population of speakers.

Using their paper as a springboard, I decided to look at how other demographic factors might influence the size of the phoneme inventory, namely: population density and the degree of social interconnectedness.

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The Problem With a Purely Adaptationist Theory of Language Evolution

According to the evolutionary psychologist Geoffrey Miller and his colleagues (e.g Miller 2000b), uniquely human cognitive behaviours such as musical and artistic ability and creativity, should be considered both deviant and special. This is because traditionally, evolutionary biologists have struggled to fathom exactly how such seemingly superfluous cerebral assets would have aided our survival. By the same token, they have observed that our linguistic powers are more advanced than seems necessary to merely get things done, our command of an expansive vocabulary and elaborate syntax allows us to express an almost limitless range of concepts and ideas above and beyond the immediate physical world. The question is: why bother to evolve something so complicated, if it wasn’t really all that useful?

Miller’s solution is that our most intriguing abilities, including language, have been shaped predominantly by sexual selection rather than natural selection, in the same way that large cumbersome ornaments, bright plumages and complex song have evolved in other animals. As one might expect then, Miller’s theory of language evolution has been hailed as a key alternative to the dominant view that language evolved because it conferred a distinct survival advantage to its users through improved communication (e.g. Pinker 2003). He believes that language evolved in response to strong sexual selection pressure for interesting and entertaining conversation because linguistic ability functioned as an honest indicator of general intelligence and underlying genetic quality; those who could demonstrate verbal competence enjoyed a high level of reproductive success and the subsequent perpetuation of their genes. Continue reading “The Problem With a Purely Adaptationist Theory of Language Evolution”

Some Links #16: Why I want to Falcon Punch (some) BBC Science Writers

I’m not normally one for violent resolutions to sloppy science, but in taking inspiration from one such perpetrator I’m promoting a Falcon Punch policy. Above is a graphical example of a successful Falcon Punch: the goal being to hurl your target onwards and upwards into a flaming ball of scientific shame.

Space is the final frontier for evolution, study claims. I had planned on writing a more substantial article on how yet another science writer, in this case one Howard Falcon-Lang, is claiming that Darwin has once again been felled by a new study. Greg Laden, however, beat me to the punch with a damning critique:

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Evolution of Colour Terms: 10 Universal Patterns are not Evidence for Innate Constraints

In a series of posts, I’ve been discussing constraints on the evolution of colour terms. Here, I discuss the role of drift and also argue that universal patterns are not necessarily good evidence for innate constraints. For the full dissertation and references, go here.

Drift

An important point which has not been highlighted in the literature is the drift introduced by cultural transmission.  Perceptual systems are noisy, and change over lifetimes.  Therefore, systems of categorising these perceptions may drift over time.  However, if concepts are shared, this drift is influenced by more than one system.  This may cause a different kind of drift from a stand-alone system for self-thought.  Communication has an additional semantic bottleneck which self-though does not have.  Using language for self thought, if you don’t know a label, you can make one up.

However, for communication, this won’t work.  For example, in models of cultural transmission (e.g., Steels & Belpaeme, 2005) agents do create new labels but, importantly, accept the speaker’s label when available.  That is, communicative systems are more flexible than systems for self-thought (communicators must be more willing to change their minds), and so are more subject to drift.  The drift allows the system to move around the possible space of coding efficiency and object categorisation efficiency.  Peaks in these landscapes will attract the drift, hence environmental and perceptual constraints being projected into language.

Although systems of colour categorisation for self-thought may be more efficient if they were constrained by the environment, shared cultural systems are more likely to reflect constraints in the environment because they are more flexible.  That is, perceptual constraints have projected themselves into language because of a communicative pressure, rather than a perceptual or environmental pressure.

I suggest that this drift, together with an ability for categories to warp perceptual spaces, would mean that individuals converge on a shared perceptual system.  If comprehension involves the activation of perceptual representations, then communication involves individuals reaching similar perceptual representations or, in a perfect world, activation of the same neural substrates.  Therefore, a population with a shared perceptual system would be able to communicate much more effectively.  In this sense, Embodied systems improve communicative success, whereas the same effect is not necessarily true of Symbolist systems. Furthermore, this drift means that populations can still converge on similar solutions, without having to assume that Universal biases are the main driving force.  It has been argued that the similarities in colour categorisation between cultures contradicts Relativism, which would predict a large variation in colour categorisation between cultures (e.g., Belpaeme & Bleys, 2005).  I argue that this inference is not necessarily valid.

Summary

This series of posts has shown that a wide range of factors constrain the categorisation of colour, including the physiology of perception, the environment and cultural transmission.  Why is there evidence for Colour Terms being adapted to so many domains?

This study considered the idea that categorisation acquired by individuals can feed back into perception and itself become a constraint both on the development of categorisation, the environment and genetic inheritance.  In this sense, the feedback from categorisation allows Niche Construction dynamics to apply to linguistic categorisations.  It was argued that this dynamic fits with the Cultural implication of an Embodied account of language comprehension.  That is, this study has concluded, similarly to Kirby et al. (2007), that universal patterns across populations do not necessarily imply strong innate biases.  This was done by arguing that Cultural, Embodied systems tend to drift towards better representations of the real world, which involves better coherence with perceptual and environmental constraints, creating cross-cultural patterns.  Furthermore, an Embodied approach to cultural dynamics incorporating a mechanism for perceptual warping predicts that the perceptual spaces of individuals can be synchronised through language to achieve better communication.

Steels, L., & Belpaeme, T. (2005). Coordinating perceptually grounded categories through language: A case study for colour Behavioral and Brain Sciences, 28 (04) DOI: 10.1017/S0140525X05000087

Belpaeme, T. (2005). Explaining Universal Color Categories Through a Constrained Acquisition Process Adaptive Behavior, 13 (4), 293-310 DOI: 10.1177/105971230501300404

Kirby, S., Dowman, M., & Griffiths, T. (2007). Innateness and culture in the evolution of language Proceedings of the National Academy of Sciences, 104 (12), 5241-5245 DOI: 10.1073/pnas.0608222104

Evolution of Colour Terms: 9 Niche Construction

In a series of posts, I’ve been discussing constraints on the evolution of colour terms. For the full dissertation and references, go here.

This section reiterates how a link between linguistic categories and perception fits into Niche Construction Theory.  If concepts can influence perception, and people share the same concepts, their perceptions will become synchronised.  This would render them more effective at communication, since referents would be perceived as similar (‘red’ can refer to the same domain of entities for each individual).  Furthermore, it may render them more able to co-operatively build a better model of the actual environment (for instance, describing an unseen danger, or researching physics).  However, this will only be true if language is grounded in constraints that come from the actual environment.  If this were not the case, apart from being inefficient at describing the actual environment, a language may drift to influence the perceived environment in a way that results in a worse fit with the actual environment.

Returning to the constraints diagram (above), note that the influence of categorisation continues, through action, to change the environment.  In other words, if language influences the perceived environment and facilitates communication, then it may also facilitate the way we change the actual environment.  In this sense, language’s influence on perception can be regarded as a form of Niche Construction (Laland, Odling-Smee & Feldman, 2000).  Therefore, not only does language become better at describing the actual environment, but the environment becomes better suited to being described by language.  This creates a better fit between perceived and actual environments and possibly increases the fitness of language users.  Essentially, then, this study presents evidence for language-specific niche construction where language can influence the environment.  This dynamic would be a consequence of an Embodied system, and more efficient as part of an Embodied system than a Symbolist account.  I therefore argue that the Embodied account is supported.

As an example of this dynamic, Hansen et al. (2006) showed that perception is affected by semantic knowledge, specifically that achromatic bananas look yellow.  However, bananas are domesticated (Heslop-Harrison & Schwarzacher, 2007).  The link between a banana’s structure and colour, therefore, is a constructed niche – cultivators fertilise the ‘best’ bananas, which go on to influence the way they perceive bananas, which affects which bananas they fertilise, and so on.  This means that the effect found in Hansen et al. cannot be innate, since the colour and structure of a banana have changed (see below).  Modulating perception with flexible, high-level categories is a way of keeping up with rapidly changing environments.

Differing structures and colours of six species of banana, all ripe. Top left: Musa balbisiana, ancestor of modern cultivated bananas. Top right: Pink Banana (Musa velutina). Bottom, from left to right: Plantains (Musa paradisiacal), red bananas (Musa rutilus), Bananito (Musa acuminate) and Cavendish bananas (Musa cavendishii). Images from Wikimedia Commons, http://commons.wikimedia.org

Less anecdotally, Griffin’s (2006) model, which classified objects using colour (see section 5.2.2), found that natural colour categories optimally aid the identification of objects.  Furthermore, the model performed equally well for natural and manufactured objects.  That is, manufactured objects have been coloured to be maximally classifiable by colour, according to linguistic colour categorisations.  This would be an intuitive and efficient tactic if, as Embodied Cognition suggests, comprehension is scaffolded onto systems of object recognition (MacWhinney, 1999).  There would be no advantage in doing this in a Symbolist system where perceptions and concepts have arbitrary connections.

Next, why universal patterns are not evidence for innate constraints ->

Laland, K., Odling-Smee, J., & Feldman, M. (2000). Niche construction, biological evolution, and cultural change Behavioral and Brain Sciences, 23 (1), 131-146 DOI: 10.1017/S0140525X00002417

Hansen, T., Olkkonen, M., Walter, S., & Gegenfurtner, K. (2006). Memory modulates color appearance Nature Neuroscience, 9 (11), 1367-1368 DOI: 10.1038/nn1794

Heslop-Harrison, J., & Schwarzacher, T. (2007). Domestication, Genomics and the Future for Banana Annals of Botany, 100 (5), 1073-1084 DOI: 10.1093/aob/mcm191

Griffin, L. (2004). Optimality of the Basic Colours Categories Journal of Vision, 4 (8), 309-309 DOI: 10.1167/4.8.309

Evolution of Colour Terms: 8 Embodied Relationships

In a series of  posts, I’ve been discussing constraints on the evolution of colour terms.  In the last post, I discussed Perceptual Warping.  Here, a further adjustment to the assumptions about perceptual space is suggested.

The assumption that all perceptual spaces are the same may be unrealistic and may favour Universalism (see Levinson, 2000).  To begin with, colour vision and colour concepts develop during ontogeny (Bornstein, Kessen & Weiskopf, 1976, Roberson, Davidoff, Davies & Shapiro, 2004).  Secondly, there may be an underestimation of the variation in colour term systems across cultures (see section 5.2.5).  Going back to the example of Tzotzil, colour terms seem to be intricately related in a way that, for example, ‘blue’ and ‘green’ in English seem not to be.  This prompts a third way of approaching the formation of colour categories.  An individual begins with no conceptual space, but learns relationships between colour terms and perceptions.  For example, learning that ‘yellow’ and ‘blue’ are as different as light with 640nm and 450nm wavelengths.  By using an embodied, relational approach to colour categories, one can construct relationships between terms based on any perceivable feature.  This could include brilliance, reflectance or the physical structure of the object.  Therefore, a banana looks yellow because its colour is understood in terms of its structure, as well as its spectral properties.  This is a more stable approach to object identification, since structures are usually stable, while colour is not.  It would also fit with the grammaticalisation of colour terms to extend to other domains.  For example, the Tzotzil sak-vilan, meaning ‘pastel’ originates from the fading of colours on fabric from fraying (MacKeigan & Muth, 2006).  Constructing relationships between words based on the relationships between the perceptual properties of their referents would then be part of a general learning mechanism which facilitated the learning of all concepts.

Next, how Embodied Cognition allows a Niche-Construction Dynamic ->

Levinson, S. (2000). Yeli Dnye and the Theory of Basic Color Terms Journal of Linguistic Anthropology, 10 (1), 3-55 DOI: 10.1525/jlin.2000.10.1.3

Bornstein, M., Kessen, W., & Weiskopf, S. (1976). Color vision and hue categorization in young human infants. Journal of Experimental Psychology: Human Perception and Performance, 2 (1), 115-129 DOI: 10.1037/0096-1523.2.1.115

Roberson, D., Davidoff, J., Davies, I., & Shapiro, L. (2004). The Development of Color Categories in Two Languages: A Longitudinal Study. Journal of Experimental Psychology: General, 133 (4), 554-571 DOI: 10.1037/0096-3445.133.4.554