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Syntax / Innateness

Lecturer: Stephen A. Butterfill

Infants’ abilties to detect syntactic structure are surprisingly sophisticated (relative to their more limited performance in producing utterances). Here we consider a case study. We also use this case study to examine how poverty of stimulus arguments work. Some argue that infants have innate abilties to learn about syntax.

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Innateness Defined

No one notion of innateness seems to be entirely satisfactory (as Mameli & Bateson, 2011 argue).

One option is to simply stipulate that for a cognitive ability to be innate is for its developmental emergence not to be a direct consequence of data-driven learning. This option fits with the idea that innateness is that property, whatever it is, that successful poverty of stimulus argument establish instances of.

A Question

We know that ‘implicit statistical learning is implicated in learning grammatical usage patterns of the input language’ (Kidd, 2012, p. 180). Is there also a role for innate abilities?

Poverty of stimulus arguments

How do poverty of stimulus arguments work? See Pullum & Scholz (2002). In outline:

  1. Human infants acquire X.

  2. To acquire X by data-driven learning you’d need this Crucial Evidence.

  3. But infants lack this Crucial Evidence for X.

  4. So human infants do not acquire X by data-driven learning.

  5. But all acquisition is either data-driven or innately-primed learning.

  6. So human infants acquire X by innately-primed learning .

In 2002, Pullum & Scholz (2002, p. \ 47) asserted that ‘the APS [argument from the poverty of stimulus] still awaits even a single good supporting example’.

Not How to Poverty of Stimulus

Consider an example of how poverty of stimulus arguments have been wielded in philosophy:

‘There would seem not to be enough ambient information available to account for the functional architecture that minds are found to have’ (Fodor, 1983, p. 35).

It is hard to detect an argument here. At least, if there is an argument, an equally compelling argument can be obtained by deleting the word ‘not’ from this sentence.

Low-quality arguments are also found in liguistics1 and developmental science2.

How to Poverty of Stimulus

Is the syntactic structure of ‘the red ball’ (a) flat or (b) hierarchical?

<a class='cite' href='#lidz:2003_what'>Lidz, Waxman, & Freedman (2003, p. figure 1)</a> Figure: Two possible syntactic structures Source: Lidz et al. (2003, p. figure 1)

To understand Lidz et al. (2003)’s experiment, we need to know three things:

  1. ‘red ball’ is a constituent on (b) but not on (a)

  2. anaphoric pronouns can only refer to constituents

  3. In the sentence ‘I’ll play with this red ball and you can play with that one.’, the word ‘one’ is an anaphoric prononun that refers to ‘red ball’ (not just ball) (Lidz et al., 2003; Lidz & Waxman, 2004).

Lidz et al. (2003) used a preferential looking time task to show that 18-month-olds tend to tread ‘the red ball’ as if it had the hierachcical structure (relying on ‘[t]he assumption in the preferential looking task is that infants prefer to look at an image that matches the linguistic stimulus, if one is available’ (Lidz et al., 2003)). They also did a corpus analysis to support the view that infants lacked critical evidence for the view that ‘the red ball’ has hierachcical structure.

Other Sources of Evidence?

I find it hard to isolate other compelling instances of a poverty of stimulus argument. Han, Musolino, & Lidz (2016) is an interesting alternative, but there appear to be some objections (in particular, that parents are not the only source of input; Piantadosi & Kidd, 2016).

Saffran & Kirkham (2018, p. 185) appear to reject the idea that such arguments are useful at all. (‘The question is not whether there are sufficient data in the input. The problem, instead, is that there is too much data.’)

Syntax and Rediscovery

It is usually not until relatively late in life, and often as a consequence of formal education, that humans ever come to know facts about syntax, if they do at all. As Fodor notes, in coming to know these facts we are rediscovering something that is in some sense already implicit in core knowledge of syntax: %

‘when you learn about English syntax (e.g., in a linguistics course), what you are learning is something that, in some sense, you already knew’ (Fodor, 1983, pp. 134, foonote~23). \

% Further, the process of coming to know facts about syntax is clearly not a matter of transforming the contents of core knowledge states (if indeed they have contents) into the contents of knowledge states. That is, the Assumption of Representational Connections would not be correct in the case of syntax. Instead, this seems to be a clear case where the developmental emergence of knowledge involves rediscovery. Early-developing syntactic abilities play a key role in the emergence of knowledge not by providing building blocks for the contents of knowledge states but by enabling you to do, feel and experience things reflection on which together with social interaction plays a role in facilitating the emergence in development of knowledge of syntax.

Glossary

Assumption of Representational Connections : The assumption that the transition from early-developing forms of representation to belief or knowledge involves operations on the early-developing forms of representation which transform their contents into (components of) the contents of knowledge states. The Assumption of Representational Connections is implicitly required by many theories about the developmental emergence of knowledge, but not by the view that development is rediscovery.
inferential integration : For states to be inferentially integrated means that: (a) they can come to be nonaccidentally related in ways that are approximately rational thanks to processes of inference and practical reasoning; and (b) in the absence of obstacles such as time pressure, distraction, motivations to be irrational, self-deception or exhaustion, approximately rational harmony will characteristically be maintained among those states that are currently active.
innate : Not learned. While everyone disagrees about what innateness is (see Samuels, 2004), on this course a cognitive ability is innate just if its developmental emergence is not a direct consequence of data-driven learning.
poverty of stimulus argument : An argument used to establish that something is innate. A poverty of stimulus argument aims to establish that something humans acquire is not acquired by data driven-learning (see Pullum & Scholz, 2002).
Principles of Object Perception : These are thought to include no action at a distance, rigidity, boundedness and cohesion.

References

Baillargeon, R. (2008). Innate Ideas Revisited: For a Principle of Persistence in Infants’ Physical Reasoning. Perspectives on Psychological Science, 3(1), 2–13. https://doi.org/10.1111/j.1745-6916.2008.00056.x
Berwick, R. C., Pietroski, P., Yankama, B., & Chomsky, N. (2011). Poverty of the Stimulus Revisited. Cognitive Science, 35(7), 1207–1242. https://doi.org/10.1111/j.1551-6709.2011.01189.x
Carruthers, P. (2015). Two systems for mindreading? Review of Philosophy and Psychology, 7(1), 141–162. https://doi.org/10.1007/s13164-015-0259-y
Davidson, D. (n.d.). Radical interpretation. In Inquiries into truth and interpretation (pp. 125–139). Oxford: Oxford University Press.
Fodor, J. (1983). The modularity of mind: An essay on faculty psychology. Cambridge, Mass ; London: MIT Press.
Han, C., Musolino, J., & Lidz, J. (2016). Endogenous sources of variation in language acquisition. Proceedings of the National Academy of Sciences, 113(4), 942–947. https://doi.org/10.1073/pnas.1517094113
Haun, D. B. M., Jordan, F. M., Vallortigara, G., & Clayton, N. S. (2010). Origins of spatial, temporal and numerical cognition: Insights from comparative psychology. Trends in Cognitive Sciences, 14(12), 552–560. https://doi.org/10.1016/j.tics.2010.09.006
Hyman, J. (1999). How knowledge works. Philosophical Quarterly, 49(197), 433–451.
Jackendoff, R. (2003). Foundations of Language: Brain, Meaning, Grammar, Evolution. Oxford, New York: Oxford University Press.
Kaplan, M. (1985). It’s Not What You Know That Counts. Journal of Philosophy, 82(7), 350–363. https://doi.org/jphil198582748
Kidd, E. (2012). Implicit Statistical Learning Is Directly Associated with the Acquisition of Syntax. Developmental Psychology, 48(1), 171–184. https://doi.org/10.1037/a0025405
Lewis, D. K. (1996). Elusive Knowledge. Australasian Journal of Philosophy, 74(4), 549–567. https://doi.org/10.1080/00048409612347521
Lidz, J., & Waxman, S. (2004). Reaffirming the poverty of the stimulus argument: A reply to the replies. Cognition, 93(2), 157–165. https://doi.org/10.1016/j.cognition.2004.02.001
Lidz, J., Waxman, S., & Freedman, J. (2003). What infants know about syntax but couldn’t have learned: Experimental evidence for syntactic structure at 18 months. Cognition, 89(3), 295–303. https://doi.org/10.1016/S0010-0277(03)00116-1
Mameli, M., & Bateson, P. (2011). An evaluation of the concept of innateness. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1563), 436–443. https://doi.org/10.1098/rstb.2010.0174
Mikhail, J. (2007). Universal moral grammar: Theory, evidence and the future. Trends in Cognitive Sciences, 11(4), 143–152. https://doi.org/10.1016/j.tics.2006.12.007
Nagel, J. (2012). Intuitions and Experiments: A Defense of the Case Method in Epistemology. Philosophy and Phenomenological Research, 85(3), 495–527.
Piantadosi, S. T., & Kidd, C. (2016). Endogenous or exogenous? The data don’t say. Proceedings of the National Academy of Sciences, 113(20), E2764–E2764. https://doi.org/10.1073/pnas.1600603113
Pullum, G. K., & Scholz, B. C. (2002). Empirical assessment of stimulus poverty arguments. The Linguistic Review, 18(1–2). https://doi.org/10.1515/tlir.19.1-2.9
Radford, C. (1966). Knowledge: By Examples. Analysis, 27(1), 1–11. https://doi.org/10.2307/3326979
Rose, D., & Schaffer, J. (2013). Knowledge entails dispositional belief. Philosophical Studies, 166(1), 19–50. https://doi.org/10.1007/s11098-012-0052-z
Saffran, J. R., & Kirkham, N. Z. (2018). Infant Statistical Learning. Annual Review of Psychology, 69(1), 181–203. https://doi.org/10.1146/annurev-psych-122216-011805
Samuels, R. (2004). Innateness in cognitive science. Trends in Cognitive Sciences, 8(3), 136–141.
Saxton, M. (2017). Child language: Acquisition and development (2nd edition). Los Angeles: SAGE.
Sosa, E. (2007). A virtue epistemology: Apt belief and reflective knowledge. Volume I. Oxford: Oxford University Press. Retrieved from http://webcat.warwick.ac.uk/record=b3489766~S1
Spelke, E. S. (1990). Principles of object perception. Cognitive Science, 14, 29–56.
Spelke, E. S., & Lee, S. A. (2012). Core systems of geometry in animal minds. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1603), 2784–2793. https://doi.org/10.1098/rstb.2012.0210
Stroud, B. (1984). The significance of philosophical scepticism. Oxford: Clarendon. Retrieved from http://webcat.warwick.ac.uk/record=b2664911~S1
Unger, P. K. (1975). Ignorance: A case for scepticism. Oxford: Clarendon. Retrieved from http://webcat.warwick.ac.uk/record=b2663127~S1
Williams, M. (1991). Unnatural doubts: Epistemological realism and the basis of scepticism. Oxford: Blackwell. Retrieved from http://webcat.warwick.ac.uk/record=b1130520~S1
Williamson, T. (2000). Knowledge and its limits. Oxford: Oxford University Press.

Endnotes

  1. For example, Berwick, Pietroski, Yankama, & Chomsky (2011) cite no evidence at all concerning the experiences available in development. 

  2. See Baillargeon (2008), for example.