New Blog: Culture Evolves!

… Well, new to me at least. It’s run by Fiona Jordan of the Max Planck Institute for Psycholinguistics, and her latest post is an interview with one of my favourite researchers, Simon Greenhill (I didn’t know he designed a sudoku solving program). Also, after having done a little digging into her publications, I found the following forthcoming paper: The effect of population size and density on rates of linguistic evolution. Here is the abstract:

Evolutionary theory from population genetics predicts that demography may play an important role in determining the rate at which cultural and linguistic traits change over time. However, relatively few studies have explored this relationship for language at an appropriate scale and in a quantitative way, nor controlled for the problem of non-independence induced by the historical relationships between languages. Here we use phylogenetic trees of 351 Austronesian languages to test whether the rate of change in core vocabulary is affected by population size and population density. We detected a strong phylogenetic signal in both population size and density, indicating the need for historical control. We find a significant inverse relationship between lexical replacement and population size, no relationship with population density, and we confirm that splitting events influence lexical evolution. These results support the idea that a process analogous to genetic drift may be an important factor in lexical evolution. Furthermore, the strong phylogenetic signal in these demographic factors suggests that despite repeated population splits the social conditions that influence speech community size and density are maintained and inherited from one generation to the next.

I’m not going to say anything on a paper I haven’t yet read, other than it looks pretty cool and that more people should be considering the influence of demographic factors in linguistics.

Language evolution in the laboratory

When talking about language evolution there’s always a resistance from people exclaiming;  ‘but how do we know?’, ‘surely all of this is conjecture!’ and, because of this, ‘what’s the point?’

Thomas Scott-Phillips and Simon Kirby have written a new article (in press) in ‘Trends in Cognitive Science’ which addresses some of the techniques currently used to address language evolution using experiments in the laboratory.

The Problem of language evolution

The problem of language evolution is one which encompasses not only the need to explain biologically how language came about but also how language came to be how it is today through processes of cultural evolution. Because of this potential ambiguity arises when using the term ‘language evolution’. To sort this ambiguity the authors put forward the following:

Language evolution researchers are interested in the processes that led to a qualitative change from a non-linguistic state to a linguistic one. In other words, language evolution is concerned with the emergence of language

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Experiments in Communication pt 1: Artificial Language Learning and Constructed Communication Systems

ResearchBlogging.orgMuch of recent research in linguistics has involved the use of experimentation to directly test hypotheses by comparing and contrasting real-world data with that of laboratory results and computer simulations. In a previous post I looked at how humans, non-human primates, and even non-human animals are all capable of high-fidelity cultural transmission. Yet, to apply this framework to human language, another set of experimental literature needs to be considered, namely: artificial language learning and constructed communication systems.

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Physicists get linguist envy?

So I wrote a post a couple of weeks ago on my Hungarian friend’s blog in which I wrote about, amongst other things, why some linguists have physics envy, but I just read a new scientist article in which it seems physicists can have linguistics envy too!

Murray Gell-Mann, a nobel prize winning physicist (who discovered quarks), has taken it upon himself to try to work out the origins of human language:

Another pet project is an attempt to trace the majority of human languages back to a common root. Since the 19th century, linguists have been comparing languages to infer their common ancestry, but in most cases, Gell-Mann says, this kind of analysis loses the trail 6000 or 7000 years back. He says most linguists insist it is impossible to follow the trail any further into the past and – this is what truly rankles with him – “absurdly, they don’t even want to try”.

Gell-Mann heads SFI’s Evolution of Human Languages (EHL) programme. The EHL linguists say they can go even further back by classifying language families into superfamilies and even into a super-superfamily. “What we’ve found,” Gell-Mann explains, “is tentative evidence for a situation in which a huge fraction of all human languages are descended from one spoken 20,000 years ago, towards the end of the last ice age.” The team does not claim to account for all languages, though, and remains agnostic about whether they can eventually do so. “All of this just comes from following the data,” he says.

I love that attempting to trace the majority of human languages back to a common root can be described as a ‘pet project’.

If anyone’s interested here’s a paper he wrote on the subject:

Murray Gell-Mann, Ilia Peiros, George Starostin. Distant Language Relationship: The Current Perspective.

What Makes Humans Unique? (II): Six Candidates for What Makes Human Cognition Uniquely Human

ResearchBlogging.orgWhat makes humans unique? This never-ending debate has sparked a long list of proposals and counter-arguments and, to quote from a recent article on this topic,

“a similar fate  most likely awaits some of the claims presented here. However such demarcations  simply  have  to  be  drawn  once  and  again.  They  focus  our  attention, make us wonder, and direct and stimulate research, exactly because they provoke and challenge other researchers to take up the glove and prove us wrong.” (Høgh-Olesen 2010: 60)

In this post, I’ll focus on six candidates that might play a part in constituting what makes human cognition unique, though there are countless others (see, for example, here).

One of the key candidates for what makes human cognition unique is of course language and symbolic thought. We are “the articulate mammal” (Aitchison 1998) and an “animal symbolicum” (Cassirer 2006: 31). And if one defining feature truly fits our nature, it is that we are the “symbolic species” (Deacon 1998). But as evolutionary anthropologists Michael Tomasello and his colleagues argue,

“saying that only humans have language is like saying that only humans build skyscrapers, when the fact is that only humans (among primates) build freestanding shelters at all” (Tomasello et al. 2005: 690).

Language and Social Cognition

According to Tomasello and many other researchers, language and symbolic behaviour, although they certainly are crucial features of human cognition, are derived from human beings’ unique capacities in the social domain. As Willard van Orman Quine pointed out, language is essential a “social art” (Quine 1960: ix). Specifically, it builds on the foundations of infants’ capacities for joint attention, intention-reading, and cultural learning (Tomasello 2003: 58). Linguistic communication, on this view, is essentially a form of joint action rooted in common ground between speaker and hearer (Clark 1996: 3 & 12), in which they make “mutually manifest” relevant changes in their cognitive environment (Sperber & Wilson 1995). This is the precondition for the establishment and (co-)construction of symbolic spaces of meaning and shared perspectives (Graumann 2002, Verhagen 2007: 53f.). These abilities, then, had to evolve prior to language, however great language’s effect on cognition may be in general (Carruthers 2002), and if we look for the origins and defining features of human uniqueness we should probably look in the social domain first.

Corroborating evidence for this view comes from comparisons of brain size among primates. Firstly, there are significant positive correlations between group size and primate neocortex size (Dunbar & Shultz 2007). Secondly, there is also a positive correlation between technological innovation and tool use – which are both facilitated by social learning – on the one hand and brain size on the other (Reader and Laland 2002). Our brain, it seems, is essential a “social brain” that evolved to cope with the affordances of a primate social world that frequently got more complex (Dunbar & Shultz 2007, Lewin 2005: 220f.).

Thus, “although innovation, tool use, and technological invention may have played a crucial role in the evolution of ape and human brains, these skills were probably built upon mental computations that had their origins and foundations in social interactions” (Cheney & Seyfarth 2007: 283).

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Where Are Memes?

This is more a public note to myself than anything else. It’s likely to seem a bit odd to those who haven’t been following my thinking on memes. Cross-posted at New Savanna.

Back in 1996 I published a long article, Culture as an Evolutionary Arena (link to downloadable PDF), in the, alas, now defunct, Journal of Social and Evolutionary Systems. In that article I introduced the notion of units of cultural inheritance with these paragraphs:

Following conversations with David Hays, I suggest that we regard the whole of physical culture as the genes: the pots and knives, the looms and cured hides, the utterances and written words, the ploughshares and transistors, the songs and painted images, the tents and stone fortifications, the dances and sculpted figures, all of it. For these are the things which people exchange with one another, through which they interact with one another. They can be counted and classified and variously studied.

What then of the ideas, desires, emotions, and attitudes behind these things? After all, as any college sophomore can point out, words on a page are just splotches unless apprehended by an appropriately prepared mind, one that knows the language. Pots and knives are not so ineffable as runes and ideograms, but they aren’t of much use to people who don’t know how to use them, that is, to people whose minds lack the appropriate neural “programs”. Surely, one might propose, these mental objects and processes are the stuff of culture.

What I in fact propose is that we think of these mental objects and processes as being analogous to the biologist’s phenotype just as the physical objects and processes are analogous to the genotype. Properly understood, these mental objects and processes are embodied in brain states (cf. Benzon and Hays 1988). Thus we have the whole of physical culture interacting with the inner cultural environment to produce the various mental objects and activities which are the substance of culture.

Richard Dawkins has proposed the term “meme” for the units of the cultural genotype, but proposes no special term for the cultural phenotype, though he recognizes the necessity of distinguishing the two (Dawkins 1982, pp. 109 ff., see also Dawkins 1989, pp. 189 ff.). Following more or less standard anthropological usage, I offer “psychological trait”, or just “trait”, as a term designating phenotypical units or features. Note, however, that Dawkins places memes in the brain and traits in the external world, which is just the opposite of what I am doing.

I have maintained that position until quite recently, say a week or two ago. I am now considering abandoning that conception. But first, a little more about how I further developed it.

In my 2001 book on music, Beethoven’s Anvil, I developed that idea with respect to music, arguing that the neural ‘trace’ (trajectory in neural state space) of musical performances is a cultural phenotype while the memes are those aspects of musical sound around which individuals coordinate their music-making activities. I further developed this idea only a few weeks ago in a series of posts I wrote as background to a post I did for the National Humanities Center on cultural evolution.

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Language – An Embarrassing Conundrum for the Evolutionist?

Hello! This is my first post on the blog and whilst I didn’t want it to be an angry rant after I found this youtube video there seemed little could have been done to avoid it.

This is a video by a creationist named “ppsimmons” who writes on the front page of his youtube channel that he “apologizes for not knowing enough to scientifically refute the evidence for creation nor for being clever enough to “scientifically” support the theory of evolution.” And yet he feels to be enough of an authority to make videos refuting evolution using ‘science’.

I know I shouldn’t let this annoy me as much as it obviously has, I know that there will always be creationists out there and I know that these creationists will never listen to anything I have to say. However, in this case, I’ve decided to respond mostly to set straight the interpretation of Robert Berwick’s words used in this video.

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Some Links #11: Linguistic Diversity or Homogeneity?

Linguistic Diversity = Poverty. Razib Khan basically argues, correctly in my opinion, that linguistic homogeneity is good for economic development and general prosperity. From the perspective of a linguist, however, I do like the idea of really obscure linguistic communities, ready and waiting to be discovered and documented. On the flip side, it is selfish of me to want these small communities to remain in a bubble, free from the very same benefits I enjoy in belonging to a modern, post-industrialised society. Our goal, then, should probably be more focused on documenting, as opposed to saving, these languages. Razib has recently posted another, quite lengthy post on the topic: Knowledge is not value-free.

When did we first ‘Rock the Mic’? A meeting of my two favourite interests over at the New York Times: Linguistics and Hip Hop. Ben Zimmer writes:

In “Rapper’s Delight,” the M.C. Big Bank Hank raps, “I’m gonna rock the mic till you can’t resist,” using what was then a novel sense of rock, defined by the O.E.D. as “to handle effectively and impressively; to use or wield effectively, esp. with style or self-assurance.” To be sure, singers in the prerap era often used rock as a transitive verb, whether it was Bill Haley promising, “We’re gonna rock this joint tonight,” or the bluesman Arthur “Big Boy” Crudup more suggestively wailing, “Rock me, mama.” But the M.C.’s of early hip-hop took the verb in a new direction, transforming the microphone (abbreviated in rap circles as mic, not mike) into an emblem of stylish display. Later elaborations on the theme would allow clothes and other accessories to serve as the objects of rock, as when Kanye West boasted in a 2008 issue of Spin magazine, “I rock a bespoke suit and I go to Harold’s for fried chicken.”

It’d be nice to see more stuff on linguistics and hip hop, and, having said that, I might write a bit on the subject. In fact, I would go as far as to say that hip hop is part of reason why I fell into linguistics: the eloquent word play encouraged, and perhaps moulded, my fascination with language. To demonstrate why, here’s a track by Maryland rapper, Edan, who certainly knows how to rock the mic:

Edan — One Man Arsenal

Life without language. Neuroanthropology provides yet another great read. This time it’s on the topic of life without language — something that’s always crept into my thoughts, yet seems impossible to imagine (as I’m already so embedded within a language-using society). The post goes on to discuss Susan Schaller and the case of a profoundly deaf Mexican immigrant who did not learn sign language:

The man she would call, ‘Ildefonso,’ had figured out how to survive, in part by simply copying those around him, but he had no idea what language was. Schaller found that he observed people’s lips and mouth moving, unaware that they were making sound, unaware that there was sound, trying to figure out what was happening from the movements of the mouths. She felt that he was frustrated because he thought everyone else could figure things out from looking at each others’ moving mouths.

One problem for Schaller’s efforts was that Ildefonso’s survival strategy, imitation, actually got in the way of him learning how to sign because it short-circuited the possibility of conversation. As she puts, Ildefonso acted as if he had a kind of visual echolalia (we sometimes call it ‘echopraxia’), simply copying the actions he saw

One Man’s Take on the Facts of the Matter. Babel’s Dawn takes a look at Tecumseh Fitch’s book, The Evolution of Language, and concisely explains a clear departure between two camps in evolutionary linguistics:

One clear difference between the scenarios is in the role of the individual in relation to language. Language is somehow built into the brain in Chomsky’s thought-first scenario, while it is learned from others in the topics-first approach. Empiricists, like Morten Christiansen and Nicholas Chater, see language as ‘out there’ to be learned while nativists, like Fitch and Chomsky, say there is an internal, I-language, and the language out there is merely the sum of all those little I-languages. How to settle the dispute? Look for factual evidence.

Noam Chomsky: Inventor of Linguistics… Huh?

I just started reading Johann Hari’s latest article about Noam Chomsky, and I was welcomed to this interesting fact:

Noam Chomsky is one of the most hysterically abused figures in the world today. Even his critics have to concede that his work inventing the field of linguistics — and so beginning to decode the structure of how language is formed in the human brain — makes him one of the most important intellectuals alive.

I agree that Chomsky is an important intellectual figure, and his massive contributions to linguistics are well-documented, but he did not invent the field. Some might say reinvented… Although, I’m not sure how favourably history will view Chomsky’s shadow having loomed over linguistics for such a long time. My own opinion, for what it’s worth, is that he’s largely been a positive influence, even if I find myself disagreeing with a lot of his major ideas.

Mathematical Modelling 101: Introduction & Viability Selection

I think the best place to start would be to state the following: Do not fear math. I spent far too long dodging equations and, when that wasn’t possible, freezing in a state of absolute confusion when faced with something like:

By the end of this post, you’ll hopefully be able to understand the above is not just a bunch of jibberish. Now before we get into the nitty gritty of the subject, I think a clarification of my assumptions is in order:

  1. That you’ll have a basic understanding of evolutionary biology. If not, then may I suggest Evolution as a very good, and highly comprehensive, introductory text. Failing that, you can always pop over to the wikipedia page.
  2. Although these posts will refer to evolutionary biology, my background is in linguistics and socio-cultural evolution — and as such, I will tend to default to the position of explaining these latter areas.
  3. It might sound insulting, but you’ll also need a basic understanding of math. You’ll be surprised by the number of people who, despite being very bright, lack even an elementary grasp of the fundamentals. A good place to start is with Kahn Academy’s wonderful online resource: http://www.khanacademy.org/.
  4. Having said that, I’m not really expecting anything beyond algebra level math, and I’ll do my best to try and clarify any confusions in the comments section. Also, I’m hardly a math guru, so I welcome anyone with a solid background in math to provide any hints, tips or suggestions, and, in the event I’m plain wrong, point out any mistakes.

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