Language Evolution and Levels of Explanation

April 16, 2012 in Evolution, Evolution, Linguistics, Science, Science News

A somewhat contentious debate among the behavioural sciences is currently underway concerning Mayr’s division of causal explanations in evolutionary theory. Here I’m going to give you a brief rundown of two papers in particular, before I chip in my two-cents about how other insights from the theoretical literature can inform this debate. It seems the discussion is just getting started with respect to cultural evolution, so it’d be interesting to hear other peoples’ comments from either camp.

Over the years, evolutionary theorists have tried to make logical divisions between the kinds of things we can ask about, with a view to making it clear what exactly scientific studies can tell us. A dominant paradigm dividing two levels of causation for biological features we see in the world is Mayr’s distinction between ultimate and proximate causes.  Ultimate causation explains the proliferation of a trait in a population in terms of the evolutionary forces acting on that trait. For example, peahens that prefer peacocks with larger tails (an honest signal of fitness following the handicap principle) will have stronger or more successful offspring, and so this preference proliferates along with larger peacock tails. Proximate causation uses immediate physiological and environmental factors to explain a particular peahen’s penchant for a large-tailed peacock in a mate choice trial, where the signal of the peacock’s large tail elevates the hormone levels in the peahen and copulatory behaviour ensues. Although the behaviour in both of these examples is the same, the levels of explanation are based on different sets of factors.

In Perspectives on Psychological Science last year, a paper by Scott-Phillips, Dickins and West voiced some concerns about these two levels of causation being conflated in the behavioural sciences. In particular, they addressed instances where proximate explanations of traits are being framed as ultimate ones. The paper points specifically to studies of the evolution of cooperation, transmitted culture and epigenetics to illustrate this. Regarding the evolution of cooperation, they point to an instance where ‘strong reciprocity’ (an individual’s propensity to reward cooperative norms and sanction violation of these norms) is purported to be an ultimate explanation of why humans cooperate, rather than a proximate mechanism that enables such cooperation.

Table of proximate and ultimate explanations. For the topic of 'linguistic structure', cultural transmission is listed as a proximate explanation, and the adaptive benefit of cooperative activity through communication is given as an ultimate explanation.,

Table 1 from Scott-Phillips et al. (2011), highlight added.

Among the examples was the feature of linguistic structure (see table 1 from paper above), where several studies pointed to the cultural transmission process as an ultimate explanation of linguistic structure. They suggest that cultural transmission constitutes a proximate process, because it gives the means by which linguistic structure is expressed – and this is how cultural transmission contributes to what the linguistic structure looks like. One analogy might be that the vibrating of my particular vocal cords is a proximate mechanism giving rise, in part, to how my voice sounds, rather than an ultimate explanation of why I vocalise. Since an ultimate account must suggest how a trait contributes to inclusive fitness in order to explain its prevalence in humans, they uncontroversially venture that the ultimate rationale for the ubiquity of linguistic structure is that it greater enables communication (and therefore increases inclusive fitness by enabling cooperative activity).

An opposing view was later published in Science by Laland, Sterelny, Odling-Smee et al., who suggest that the use of Mayr’s division of ultimate and proximate causation is not helpful to all evolutionary investigations, and even hampers progress. The grounds for rejecting Mayr’s paradigm seem to lie largely in what Laland et al. term “reciprocal causation”. That is, that “proximate mechanisms both shape and respond to selection, allowing developmental processes to feature in proximate and ultimate explanations”. After aligning proximate explanations with ontogeny and ultimate explanations with phylogeny, they suggest that what we may have called ultimate and proximate features are no longer sharply delineated, and that these reciprocal processes mean that the source of selection sometimes cannot be separated. They present an idea from the field of evolutionary-developmental biology that, if a developmental process makes some variant of a trait more likely to arise than others, then this proximate mechanism helps to construct an “evolutionary pathway”.

Flow charts presenting alternative processes for Biological evolution, Cultural evolution and Gene-culture coevolution

Figure 2 from Laland et al. (2011)

The paper also highlights developmental plasticity, and gene-environment interaction more broadly (see fig. 2 from paper, above), as a process where reciprocal causation offers an evolutionary explanation conceptually comparable to ultimate causation. Talking specifically on the topic of linguistic structure, they present the debate about whether specific design features of language are attributable to biological or cultural evolution. The paper points out that cultural evolution determines features of linguistic structure – for example, word order – and that the existing word order determines that of future speakers. Indeed, at the Edinburgh LEC we know that transmission by iterated inductive inference under general conditions can explain particular structures in languages. That cultural evolution determines the variation between languages, Laland et al. say, provides evidence that it is an evolutionary force comparable to natural selection (and, therefore, ultimate explanation).

What follows is a collection of my thoughts on the matter, which are (spoiler alert) largely in support of the Scott-Phillips et al. paper. I hope others more experienced in cultural evolution studies than I will contribute their perspective.

It seems to me that there are a few assumptions made in the Laland et al. paper that are not quite in line with how Mayr himself understood the paradigm, and perhaps much can be learned from this debate’s previous incarnation when Richard C. Francis made similar arguments against the ultimate/proximate distinction in 1990. In his critique, he equated ultimate causation with phylogeny and proximate causation with ontogeny – an approach that was rebuked by Mayr in 1993, who made the point that “all physiological activities are proximately caused, but is a reflex an ontogenetic phenomenon?” Mayr’s response is actually rather unhelpful in addressing the arguments fully, and this statement is particularly dense. But what he is getting at here is the idea that interaction with the environment that gives rise to adaptive behaviours (such as recoiling instantly from a hot stove) is itself subject to selection, and thus constitutes a proximate explanation of causation. Relatedly, he points out that most components of the phenotype are indeed the result of genetic contribution and interaction with the environment, which has been successfully explored in biology within the traditional theoretical paradigm.

A perhaps more nuanced account of how we can divide the possible explanations of biological phenomena is offered by Tinbergen in his “four questions”, where ultimate explanations are further subdivided into Function (concerning the adaptive solution to a survival problem favoured by natural selection) and Phylogeny, which is a historical account of when the trait arose in the species, and importantly includes processes other than natural selection that give rise to variation – such as mutation, drift and the constraints imposed by pre-existing traits (see blind spot example below). Proximate explanations are further split into Mechanism (immediate physiological/environmental factors causal in how the trait operates in the individual) and Ontogeny (the way in which this trait develops over the lifetime of the individual). As a simple example, here is the paradigm applied to a trait like mammalian vision that I lifted from Wikipedia:
Ultimate
Function: To find food and avoid danger.
Phylogeny: The vertebrate eye initially developed with a blind spot, but the lack of adaptive intermediate forms prevented the loss of the blind spot.
Proximate
Causation: The lens of the eye focuses light on the retina
Ontogeny: Neurons need the stimulation of light to wire the eye to the brain within a critical period (as those awful studies of blindfolded kittens illustrated).
A schematic below, adapted from Tinbergen (1963) shows how these levels of causation may interact with one another, which appears to communicate something roughly comparable to the importance Laland et al. place on “reciprocal causation” in the formation of adaptive variants:

Flow chart showing the interaction of functional, phylogenetic, mechanistic and ontogenetic explanations

Adapted from Tinbergen (1963); Causal Relationships

Applied the to debate outlined above, it would seem that there is no apparent reason that a process of gene-environment interaction – including the cultural environment – can’t itself be subject to selection, or that developmental plasticity itself is not an adaptation in need of an ultimate explanation. It has long been the case that behaviour is no longer understood as either “nature” or “nurture”, but gene-environment interaction, with varying levels of heredity. The “reciprocal causation” suggested in Laland et al.’s paper, is (as they point out) very common in nature; feedback loops are uncontroversial proximate processes in biology. That a proximate process may give rise to a dominant variant of a trait in a population does not explain why it is adaptive, and this points to another problem with the proposing the abandonment of Mayr’s paradigm: a logical division of levels of explanation doesn’t seem to be the sort of thing that can be rendered outdated by empirical evidence. Indeed, claims about the particulars of traits and processes (and languages) themselves are a matter for empirical data – but the theoretical issue about the level of explanation that data is useful for does not itself seem to be subject to empirical findings.

The finding that a proximate process such as cultural transmission gives rise to a trait that is prolific in a population is itself exciting and surprising, and even shows us that the pressure for making language easier to learn gives us adaptive languages to learn; however, it could be argued that it is this process that is adaptive, and that the reason why humans so heavily rely on this process is an ultimate explanation.

One way of resolving these two perspectives may be to place cultural processes that give rise to variation at the level of what Tinbergen labels Phylogenetic (one subset of ultimate) explanation, as it concerns processes which produce some heightened frequency of traits over a language’s history. An explanation at the level of Phylogeny still must make recourse to natural selection at some point, since variants that result from mutation or drift are retained because of their adaptive value (or an adaptive trade-off). This approach may be a problem for the current understanding, which holds that the features resulting from cultural processes are themselves adaptive and therefore comparable to what Tinbergen labels Function.

The problem with this is that calling particular structures of language ‘adaptive’ obscures what it is about Language that is actually being selected for. To flesh out what I mean, I think it’s useful to consult Millikan’s (1993) distinction between Direct Proper Function and Derived Proper Function (… bear with me, it’ll be worth it, honest). The Direct Proper Function of a given trait T can be thought of as a “reproduction” of an item that has performed the exact same adaptive function F, and T exists because of these historical performances of F. Sperber and Origgi (2000) use the illustrative example of the heart, where the human heart has a bunch of properties (it pumps blood, makes a thumping noise, etc), but only its ability to pump blood is its Direct Proper Function. This is because even a heart that doesn’t work right or makes irregular thumping noises or whatever, still has the ability to pump blood. Hearts that pump blood have been “reproduced through organisms that, thanks in part to their owning a heart pumping blood, have had descendents similarly endowed with blood-pumping hearts”.

The Derived Proper Function, however, refers to a trait T that is the result of some device that, in some environment, has a Proper Function F. In that given environment, F is usually achieved by the production of something like T. If I unpack this idea and apply it to language, we can understand it as the acquisiton and production of a device that, in this environment, leads to, say, a particular SVO language, T. The Proper Function of adaptive communication is performed by T in this case, but could also be performed by any number of SOV, VSO, etc Ts in other cases. In other words, the Proper Function of this language is not the word order itself, but communication. The word order is the realisation of this device that is reproduced because of the performance of T in a particular environment, but does not necessarily lead to T in the next incarnation of that device (i.e. My child, if born and raised in Japan, will speak Japanese). We see, then, that a proximate process resulting in what a particular language spoken by a given population looks like does not necessarily speak to the evolutionary function. In other words, it is the device that allows the performance of Language that is adaptive, not the individual language itself.

One question being asked in the study of cultural transmission is why a particular language looks like it does, while we also know that there are 6000 different versions that perform the same (ultimate) function. I would even argue that asking how proximate processes shape languages is actually the most exciting and interesting avenue of inquiry precisely because it’s so blindingly obvious what the adaptive function of language is. But perhaps the value in this endeavour is somewhat neglected, in part, because of the same impression that Francis (1990) had: “the attitude, implicit in the term ultimate cause, [is] that these functional analyses are somehow superordinate to those involving proximate causes” which would be a shame. It seems to me that the coarse grain of ultimate vs proximate perhaps doesn’t do enough to help complex proximate study to position itself in the wider theoretical framework, and the best way to proceed from this might be to couch explanation in terms of Function, Phylogeny, Ontogeny and Mechanism. I think more fine-grained terminology grants us more explanatory power, in this case.

A final question in this debate that came up too many times during discussions with the LEC is: what does keeping the traditional paradigm “buy us”? Well, the first answer to this is consilience with one of the most successful and robust theories in science. The same sentiment has been communicated by Pinker and Bloom (1990), who said: “If current theory of language is truly incompatible with the neo-Darwinian theory of evolution, one could hardly blame someone for concluding that it is not the theory of evolution that must be questioned, but the theory of language”. Part of the reason this debate may have arisen is that studies of cultural evolution have used evolutionary theory as an incredibly fruitful way of analysing cultural processes, but additional acknowledgement about how cultural adaptation is different to biological adaptation may be necessary. This difference is an aspect of Laland’s paper (shown in Fig 2) that I think is important, as it’s part of the reason that more nuanced frameworks for cultural evolution are now needed. Without this widespread acknowledgement, cultural evolution may be considered an extension of biological evolutionary theory instead of a successfully applied metaphor. It seems to me that the side of this debate one falls on is well predicted by whether one subscribes to the former interpretation of cultural evolution or the latter.

Knowing which level of explanation current work pertains to is a valuable part of evolutionary exploration, and abandoning this in favour of an approach where proximate processes are explanatory ends to themselves may mean the exploration of Function and Phylogeny may suffer. That said, it is telling, I think, that even in seeking to abandon the proximate/ultimate distinction, we must still exploit this existing terminology in order to explain such a position. That natural selection has explained countless adaptations in all living things is certainly not trivial, and to reject the theory giving rise to ultimate explanations as they’re currently defined is to reject this fundamental aspect of evolutionary theory. The big problem seems to be that we’re coming to understand proximate processes as so elaborate and complex, that a more nuanced framework is needed to deal with the dynamics of those processes. I reckon, however, that such a framework can be developed within the traditional paradigms of evolutionary theory.

 

References

Francis, R.C. (1990) – “Causes, Proximate and Ultimate” Biology and Philosophy 5(4) 401-415.

Laland, K., Sterelny, K., Odling-Smee, J., Hoppitt, W. & Uller, T. (2011) – “Cause and Effect in Biology Revisited: Is Mayr’s Proximate-Ultimate Distinction Still Useful?” Science 334, 1512-1516.

Mayr, E. (1993) – “Proximate and Ultimate Causations” Biology and Philosophy 8: 93-94.

Millikan, R. (1993) – White Queen Psychology and Other Essays for Alice, Cambridge, Mass: MIT Press.

Pinker, S. & Bloom, P. (1990) – “Natural language and natural selection” Behaviour and Brain Sciences 13, 707-784.

Scott-Phillips, T. Dickins, T. & West, S. (2011) – “Evolutionary Theory and the Ultimate-Proximate Distinction in the Human Behavioural Sciences” Perspectives on Psychological Science 6(1): 38-47.

Sperber, D. & Origgi, G. (2000) – “Evolution, communication and the proper function of language” In P. Carruthers and A. Chamberlain (Eds.) Evolution and the Human Mind: Language, Modularity and Social Cognition (pp.140-169) Cambridge: Cambridge University Press.

Tinbergen, N. (1963) “On Aims and Methods in Ethology,” Zeitschrift für Tierpsychologie, 20: 410–433.

 

 

Monkeys can read! (not really)

April 13, 2012 in Irreverant and Irrelevant

OMG! Monkeys can read! Planet of the apes is coming! Not really. A new paper in Science by Grainger, Dufau, Montant, Ziegler and Fagot at the Aix-Marseille University found that Guinea baboons can be trained to differentiate between four letter English words and nonsense words. One monkey called Dan could recognise up to 300 written words, and by “recognise” I mean he knew those words could give him a treat, not that he could recognise that they signified objects in the world, which is what we mean when we say that a human has “recognised” a word. It’s a minefield isn’t it?

I wonder to what degree this is just a memory test or if the monkeys really are noticing relations between the letters which make up the words, as opposed to the nonsense words. The paper probably answers this. Bloody pay walls… Either way, I don’t think this is evidence to suggest that the role of phoneme-letter matching in humans learning to read should be undermined.

Language Evolution and The Impact Agenda

April 13, 2012 in Academia

Let’s talk about funding.

I’m writing this post to generate some discussion about this subject, because when I’m not banging on about Language Evolution, my day job is to help people achieve research impact via the channels of community outreach/engagement and so it’s something I think about a lot.  It’s probably worth noting here that “Language Evolution” throughout this post can be replaced by any blue-sky area of research.

Disclaimer: I know this blog has a global readership, but I’m sat in Britain and my whole experience of research funding has been in Britain, so sorry if the issues raised here aren’t relevant to you, I’d be interested to hear how some of these issues are tackled in different countries.

Firstly, I should probably outline what the impact agenda actually is because it currently seems to be one of those vague government-constructed concepts like the “Big Society” or “Broken Britain”. “Impact” is the economic and social benefits of research outside of academia and the “Impact Agenda” is the assessment of research with regards to its “Impact”. That’s the end of the use of quotation marks for this post. I promise.

The impact agenda is largely born out of the current financial climate and funding cuts which have seen universities struggle to sustain their revenue streams. This has meant a rise in the assessment of research by universities in terms of profit, as well as through funding bodies, via the Research Excellence Framework (REF), in terms of its impact outside of academia for having demonstrable benefits to the wider economy and society. Assessing the amount of funding a university department gets depending on impact is a highly controversial issue, with some claiming that it is undermining academic freedom and others arguing that it is an excellent way to ensure that academia is not an exclusive enterprise whose output only benefits those within the academic community.

Why is the impact agenda a good idea?
Having research which benefits the community is obviously a good thing – especially when that research is being funded by tax payers money. An excellent way to achieve impact in the community is to run bottom-up think-tanks where the priorities of the public become the priorities of the academic community. The outcomes of this research can then be fed back to the public who then feed further priorities into the research. This is a great model for much of the research done where immediate real-world applications exist, however there is much controversy surrounding the application of this model to the detriment of more blue sky research.

Why is the impact agenda a bad idea?
Many argue that the impact agenda undermines academic freedom as academics are being told what to research, rather than researching what they think it is best. Whilst it may be true that in some instances what the public consider to be a worthwhile avenue to explore may match up with what the academic community believe is worthwhile research, there will still be many other instances where academics wish to pursue hypotheses which the public will not see the value in – either because of a difference in values, or because of a gap in knowledge. The former is obviously a problem as the academics of this world are not a reasonable socio-economic sample of the population at large. The latter however, is probably a pretty watertight reason why academics get the last say in what it is they research. They are, after all, the intellectual cream of our society.

Why is all of this such a problem for the study of language evolution?
Research into the evolution of language is mostly within the realms of blue sky research – that is research having no immediately apparent real-world applications, but does this mean it’s not worthwhile and not worth funding in the current economic climate?

Topics for discussion:

  • Have you seen a noticeable decrease in funding in blue-sky areas?
  • What are the real-world applications of the study of language evolution?
  • Do you have any case studies where language evolution research has resulted in applications in the real world?
  • What might help increase the impact of research into language evolution?
  • Is this whole debate a false dichotomy?

Horizontal transfer metaphor borrowed from Star Wars

April 9, 2012 in Uncategorized

Finally, antagonists of the ‘tree’ view of evolution have a metaphor of their own (from SMBC).

The evolution of numeral classifier constructions

April 5, 2012 in Uncategorized

ResearchBlogging.orgI went to a good talk almost a year ago at the Interfaces III conference at the University of Kent, and I said I’d write about it, but I never got around to it. The slides have been on my desktop ever since. Now that I have a couple hours to kill on the train coming back from the MPI in Nijmegen, here’s that promise fulfilled. I’m going mostly from the slides, so nicely sent to me, and any errors in the transcription from those are my own.

The evolution of numeral classifier constructions

Vipas Pothipath, Dept. of Thai, Chulalongkorn University
The talk was based on work done at both Chulalongkorm and the MPI for Evo. Anthr. in Leipzig, as well as on (then unpublished, although it might be now) Pothipath’s PhD thesis.

A number classifier is a morpheme typically appearing next to a numeral or a quantifier, categorizing the noun with which it co-occurs on a semantic basis. An example would be the Thai, where tua is the classifier:

  • mǎ: sǎ:m tua
  • dog three CLF (lit. ‘body’)
  • three dogs

These can also be bound morphemes, and can co-occur with ordinal numerals or definitive markers. Pothipath focused on cardinal numerals, and defined numeral classifier constructions (NCCs) as syntactic constructions basically consisting of two core constituents, namely a cardinal numeral X and a numeral classifier Y. This case would be exemplified by the above Thai example, which is just as grammatical when mǎ: ’dog’ is dropped and only the numeral and classifier remain. Now, based on WALS, these exist in many languages across the world (although not so much in Europe), and are sometimes optional and occasionally obligatory. The sample size was only 56 languages, so there might be more widespread variation. Pothipath claims that the optional/obligatory split shows a possibility of a typologial continuum, and that the evolution can be shown using an evolutionary ladder.

This continuum wouldn’t work if there weren’t different types of NCCs. He outlines these (although the names given here are mostly my own):

  1. Repeater: Where a noun is used as the numeral classifier for the noun itself, particularly when there isn’t a suitable classifier for that noun. (I wish there had been a bit of a more explicit statement about how this isn’t just a switch in syntax for noun and number, as can be seen in the example given (fǽm) hâ: fǽm ‘(file) five files’.)
  2. Free form classifier: Where there is a single form used for certain nouns that isn’t related morphologically or lexically synchronically.
  3. Affixal classifier: Like above, but bound to the numeral, as in mat=tol ‘CLF=three’ in Taba. (Bowden, 2001)
  4. Obligatory affixal classifier: Here, the classifier is a dependant morpheme on the numeral, as in maq-ond ‘CLF-one’ in Malto. (Steever 1998)
  5. Joined (unanalyzable) classifier: Where a different lexical form is used for the numeral depending on the nature of the noun.

Now, among the languages Pothipath looked at, some showed more than one morphological type of NCC. This might be a sign that, under the theory of grammaticalisation, free forms develop into the final lexically closed type of classifier. He goes on to show, using diachronich examples, where different languages show this change. Interestingly, he cites Hurford (2001) as a justification for the affixation of classifiers when they are numerals less than 4, as these behave differently than the other numeral words (as they are used more, among other reasons). I wonder if this has any implications for the broad use of the Swadesh list, especially in cases like in the ASJP database which only has around 40 words per language in it. Later, he also mentions Corbett (2000), as the Animacy Hierarchy influences the lexicalisation of classifiers in Warekena.

The argument stands on the idea that a cline of grammaticality in current systems may show a hypothetical evolutionary ladder, which Pothipath rightfully notes as tentative thikning. He also gives a counter example from Beijing Mandarin, which only had limited scope. But, in essence, this is another cyclic case for grammaticalisation theory. Overall, it’s good research, and adds a bit more to the puzzle.

——

There was at least one open question for me after the talk, which a little WALSing was able to corroborate – is the link between gender assignment and numeral classifiers clear? How do they influence each other? Here’s the WALS markup for that.

As can be seen here, classifiers don’t appear when there is semantic and formal gender assignment. I think that’s interesting. I’d like to take a closer look and see if there are any cases where the numeral classifiers and semantic gender assignments clash – I suspect that they are linked, but that the evolutionary grammaticalisation cycle might be too complex to evolve easily. As I’ve got other evolutionary morphological processes on my mind (cf. my evolang talk), I won’t be looking into this soon, but it is an open question that might have some nice low hanging fruit.

References

  • Bowden, J. (2001). Taba: description of a South Halmahera language. Canberra: Pacific Linguistics.
  • Corbett, G. G. (2000). Number. Cambridge: Cambridge University Press.
  • Gil, D. (2005). Numeral classifiers. In M. Haspelmath, M. Dryer, D. Gil & B. Comrie (Eds.), (pp. 226-229).
  • Hurford, J.R. (2001) Numeral Systems. In International Encyclopedia of the Social and Behavioral Sciences, edited by N.J.Smelser and P.B.Baltes, Pergamon, Amsterdam. pp.10756- 10761.
  • Vipas Pothipath (2008). Typology and Evolution of Numeral-Noun Constructions Unpublished PhD Thesis at the University of Edinburgh
  • Pothipath, V. (2011) The Evolution of numeral classifier constructions: a syntax-morphology-lexicon interface.
  • Steever, S. B. (1998). Malto in S.B.Steever (ed.) The Dravidian languages. London: Routledge, pp. 359-387.

Correction: Theory and evidence in language evolution research session still open!

March 30, 2012 in Uncategorized

I recently posted about a thematic session entitled ‘Theory and evidence in language evolution research’ at the Poznan Linguistics Meeting.  The call for paper is still open!  Here’s the call:

PLM2012 – Session CfP – Theory and evidence in language evolution

Wild Replicator’s Got Funky Rhythm, Part 2

March 27, 2012 in Evolution

As its name indicates, this post builds on Wild Replicator’s Got Funky Rhythm, Part 1. I want to call your attention, in particular, to the next to the last section, Becoming Memetic. There I trace, albeit sketchily, the history of Rhythm Changes. The point is that Rhymthm Changes didn’t exist as a memetic entity in 1930, when George Gershwin wrote “I Got Rhythm.” Just when the chord changes had become differentiated from the song itself is not clear. But it had certainly happened, at least in the jazz world, by the mid 1940s. Thus, it is not as though certain patterns are essentially memetic while others are not. It’s a question of how the patterns function in the cultural system.

* * * * *

In the previous post I took a look at Rhythm Changes, a memetic entity that has played an important role in jazz and, in particular, in bebop. FWIW, Rhythm Changes has also been used in the theme song for well-known some well-known cartoons, Woody Woodpecker and The Flintstones. In this post I want to do several things:

  • consider all the elements of “I Got Rhythm,” rather than just the chord changes,
  • think briefly about how pools of memetic elements function in defining musical styles, and
  • look briefly at how the chord changes to Gershwin’s tune became memetically active.

Taken together those discussions flesh out the role of memetic elements in music systems in the large. I conclude by

  • examining this discussion of memes in music in the context of a recent article by Evelyn Fox Keller and David Harel, Beyond the Gene, and not some broad thematic similarities between their discussion and mine.

I Got Rhythm, Whole

As I’ve indicated, Rhythm Changes is derived from, abstracted from, George Gershwin’s “I Got Rhythm.” Now let’s think about the whole tune, not just its harmonic trajectory, i.e. Rhythm Changes. In addition to that trajectory we also have a specific melody, the lyrics, the rhythmic framework, and the arrangement. The lyrics are optional; the tune can be performed without them, and among jazz musicians that is the typical, if not universal, performance practice. Note, however, that any consideration of the lyrics brings a whole other memetic field into consideration, that of language. Read the rest of this entry →

Wild Replicator’s Got Funky Rhythm, Part 1

March 23, 2012 in Evolution

Now that the replicator meme is out and about I’ve got more to say. I’m going to republish two more posts from my 2010 cultural evolution series. These posts are about music. I have various reasons for using music as my cultural evolution conceptual sandbox. For one thing, it means that I don’t have to contend with semantic meanings arbitrarily associated with bits of music. In music, all we’ve got is the physical signal.

In these two posts I choose, not a simple musical example but, rather, a complex one, something jazz musicians know as Rhythm Changes. While I could talk about the four-note motif Beethoven used to construct the first movement of his Fifth Symphony, which is a memetic favorite, that’s too easy. Thinking about it won’t stretch our intuitions about the memetic properties of mere physical things. That motif has four notes, with specific durations and specific note-to-note pitch relationships.

Rhythm Changes isn’t like that. It’s an abstract property of a sound stream. There is now specific number of notes, no specific durations, and no specific note-to-note pitch relationships. Thousands upon thousands of specific musical streams, many quite different from one another, have exemplified the properties of Rhythm Changes.

In the previous post (in this series) I argued memes, the cultural parallel to the biological gene, are those physical properties of objects, events, and processes that allow different individuals to coordinate their participation in those things. In this view, memes are not physical objects, like genes, that spread through a population. Rather, memes are about sharability; they are physical properties that can easily be identified by human nervous systems and thus be the basis for shared (cultural) activity.

In that post I considered a very basic case, people making noise at regular intervals. In that case we have two memes, period (the interval between “hits”) and phase (the relationship between streams of hits by different individuals). Now I want to consider a considerably more complex case, the entity jazz musicians know as Rhythm Changes. This entity assumes that, for a given performance, period length and phase value are agreed upon. In fact it assumes a lot more. We’re dealing with a whole lot of memes here.

But I don’t want to get hung up in those details. I just want to characterize Rhythm Changes in a reasonable way and explain just why I insist that we regard Rhythm Changes as a structured collection of physical properties that can be ascribed to a stream of sound. While it would be nice to characterize Rhythm Changes using the language of acoustics, it’s not at all clear to me that we’ve got the necessary concepts. In any event, if we do, I don’t know them. Instead, I’ll couch my description in the schematic terms jazz musicians tend to use when talking about their craft; these terms are derived, in part, from descriptive and analytic concepts developed for European art music (i.e. classical music).

I’m going do this in two posts, the first will be confined to Rhythm Changes itself. The second will consider how Rhythm Changes came into being and how it functions in the popular music system. Read the rest of this entry →

QHImp Qhallenge: Results on day 1

March 22, 2012 in Uncategorized

Earlier today we released an experiment on working memory in humans and chimps.  You can play the game here.

We’ve had responses from about 70 people, and we have some results.  Some are summarised on the live results page.

Astoundingly, people actually managed to get 9 numbers shown for only 210 ms!  Replicated Typo’s very own James Winters was one of those mavericks, but puts it down to luck.

There were some early leaders, but in the last few hours, the player known as ‘mjb’ has really kicked everybody’s ass and got to the top of all three leaderboards.  Who are you, magic human?  Let us know!

Read the rest of this entry →

The QHImp Qhallenge: Working memory in humans and Chimpanzees

March 22, 2012 in Irreverant and Irrelevant, Linguistics, Science News

Do you have a better memory than a chimp?  Tetsuro Matsuzawa demonstrated the amazing working memory abilities of Chimpanzees, but maybe humans can be just as good, with enough practice.  Justin Quillinan and I present the Quick-Hold Improvement Challenge (or QHImp Qhallenge).  Play our game and find out if you can beat a chimpanzee.

Play the game here.

You can see the results update live here.  Results so far are tantalizing: Replicated Typo’s very own James Winters has already reached the Ayumu benqhmark (9 numbers viewed for only 209 milliseconds)!

skip to Game instructions

Background

Tetsuro Matsuzawa presented his work on chimpanzees in a plenary talk at Evolang.  Matsuzawa covered several very interesting experiments and findings, including an experiment into the working memory of chimpanzees.  Ayumu is a chimpanzee who was trained to recognise Arabic numerals on a touch-screen and press them in sequence.  The most impressive aspect was that Ayumu could complete the task even when the numbers were only displayed for 210 milliseconds before being masked (the ‘eidetic memory task’ or ‘limited-hold’ memory task, Inoue & Matsuzawa, 2007):

You can see more videos of this at the Friends and Ai website.

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