You can access a smattering of recent papers (plus some ancient texts) in my Github repository. Alternatively, you can display them with the nbviewer. The README.md file (reproduced below) contains information about the specific files.
Recent papers on Agent-Based Models, populations and games
– Christopher Ahern, Mitchell Newberry, Robin Clark, and Joshua Plotkin. 2016. “Evolutionary forces in language change”. ms. University of Pennsylvania
Languages and genes are both transmitted from generation to generation, with opportunity for differential reproduction and survivorship of forms. Here we apply a rigorous inference framework, drawn from population genetics, to distinguish between two broad mechanisms of language change: drift and selection. Drift is change that results from stochasticity in transmission and it may occur in the absence of any in- trinsic difference between linguistic forms; whereas selection is truly an evolutionary force arising from intrinsic differences – for example, when one form is preferred by members of the population. Using large corpora of parsed texts spanning from 12th century to the 21st century, we analyze three examples of grammatical changes in English: the regularization of past-tense verbs, the rise of the periphrastic ‘do’, and syntactic variation in verbal negation. We show that we can reject stochastic drift in favor of a selective force driving some of these language changes, but not others. The strength of drift depends on a word’s frequency, and so drift provides an alternative explanation for why some words are more prone to change than others. Our results suggest an important role for stochasticity in language change, and they provide a null model against which selective theories of language evolution must be compared.
– Robin Clark. 2016. “Language Leaders and Effective Population Size”. ms University of Pennsylvania.
A brief look at the mathematics of effective population size; a proposal on how to accout for the data in the following paper.
– Robin Clark and Steven O. Kimbrough. 2015. “The Spontaneous Emergence of Language Variation from a Homogeneous Population”. CSSSA 2015. Computational Social Science Society of the Americas. (Winner best paper).
This reports on a relatively large Agent-Based Model of phonetic variation. The presence of language leaders has the effect of inducing variation.
– Christopher Ahern and Robin Clark. 2016. “Conflict, Cheap Talk, and Jespersen’s Cycle”. (in submission).
This paper uses a combination of game theory (in particular, Crawford and Sobel’s (1981) work on signaling games) and corpus data to work out a model of the change in the interpretation of negativr elements observed in many languages.
Game theory and meaning
– Robin Clark. 2016. “Games, Meaning, and Linguistic Signaling”. ms. University of Pennsylvania
A short paper on using games of incomplete information to analyze speech acts and focal points. This manuscript is to be expanded to include Bayesian updating!
– Christopher Ahern, Robin Clark, and Steven O. Kimbrough. 2014. “Extended Abstract: Coordination without Association”. ms, University of Pennsylvania.
Cooperation is usually said to evolve from repeated plays, but this involves a reliable association between players. In this version, players might play one-shot, but are given (some) information about the average return of (a subset of) other palyers. They all strive to be above average in their earnings; if they earn below average, they adjust their play, with the result that a certain level of cooperation is always reliably present and could act as a ratchet for the evolution of cooperation.
– Robin Clark. 2012. “Social and Physical Coordination”. Interaction Studies. 13(1). 66-79.
As the title suggests, a short survey on connections between social coordination (groups of people coordinating their behavior) and physical coordination (how we, for example, coordinate body movements).
– Robin Clark and Prashant Parikh. 2007. “Game Theory and Discourse Anaphora”. Journal of Logic, Language and Information, 16, 265-282.
This is a model of reference tracking using game theoretic contructs. I think I would more carefully incorporate focal points and updating; some of this was done in Meaningful Games (2012; The MIT Press).
– Laia Mayol and Robin Clark. 2010. “Pronouns in Catalan: Games of partial information and the use of linguistic resources.” Journal of Pragmatics. 42. 781-799.
This paper uses the framework of Clark and Parikh (2007) to look at Catalan; interesting because Catalan has null pronouns. In other words, Catalan has a resource that English lacks and is able to distribute its resources differently!
– Robin Clark. 2009. “Games, Quantification, and Discourse Structure” in O. Majer, A-V Pietarinen and T. Tulenheimo (ends). Games: Unifying Logic, Language, and Philosophy<. Springer. p. 139-150.
This paper gives a simple game theoretic method of evaluating logical quantifiers and updating the discourse model.
Neuroscience: Quantifiers, Number Sense and Strategic Reasoning
– Robin Clark. 2011. “Generalized quantifiers and number sense”. Philosophy Compass. 6/9. 611-621.
An overview of the relationship between quantifiers, semantic automata, and numerosity.
– Stefan Heim, Corey T. McMillan, Robin Clark, Laura Baehr, Kylie Ternes, Christopher Olm, Nam Eun Min, and Murray Grossman. 2016. “How the brain learns how few are ‘many’: An fMRI study of the flexibility of quantifier semantics”. NeuroImage. 125, 45-52.
This looks at the interpretation of “vague” quantifiers like few and many and illustrates how their interpretation can be manipulated by (slight) training.
– Nicola Spotorno, Meghan Healey, Corey T. McMillan, Katya Rascovsky, David J. Irwin, Robin Clark and Murray Grossman. 2015. “Processing Ambiguity in a Linguistic Context: Decision-Making Difficulties in Non-Aphasic Patients with Behavioral Variant Frontotemporal Degeneration.” Frontiers in Human Neuroscience 9 (October): 1–8. doi:10.3389/fnhum.2015.00583.
Some extent of ambiguity is ubiquitous in everyday conversations. For example, words have multiple meaning and very common pronouns, like “he” and “she” (anaphoric pronouns), have little meaning on their own and refer to a noun that has been previously introduced in the discourse. Ambiguity triggers a decision process that is not a subroutine of language processing but rather a more general domain resource. Therefore non-aphasic patients with limited decision-making capability can encounter severe limitation in language processing due to extra linguistic limitations. In the present study, we test patients with behavioral variant frontotemporal degeneration (bvFTD), focusing on anaphora as a paradigmatic example of ambiguity resolution in the linguistic domain.
– Robin Clark and Murray Grossman. 2007. “Number Sense and Quantifier Interpretation.” Topoi 26 (1): 51–62. doi:10.1007/s11245-006-9008-2.
We consider connections between number sense—the ability to judge number—and the inter- pretation of natural language quantifiers. In particular, we present empirical evidence concerning the neuro- anatomical underpinnings of number sense and quan- tifier interpretation. We show, further, that impairment of number sense in patients can result in the impair- ment of the ability to interpret sentences containing quantifiers. This result demonstrates that number sense supports some aspects of the language faculty.
– Corey T McMillan, Robin Clark, Peachie Moore, and Murray Grossman. 2006. “Quantifier Comprehension in Corticobasal Degeneration.” Brain and Cognition 62 (3): 250–60. doi:10.1016/j.bandc.2006.06.005.
In this study, we investigated patients with focal neurodegenerative diseases to examine a formal linguistic distinction between classes of generalized quantifiers, like “some X” and “less than half of X.” Our model of quantifier comprehension proposes that number knowledge is required to understand both first-order and higher-order quantifiers. The present results demonstrate that corticobasal degeneration (CBD) patients, who have number knowledge impairments but little evidence for a deficit understanding other aspects of language, are impaired in their comprehension of quantiWers relative to healthy seniors, Alzheimer’s disease (AD) and frontotemporal dementia (FTD) patients [F(3, 77) D 4.98; p < .005]. Moreover, our model attempts to honor a distinction in complexity between classes of quantifiers such that working memory is required to comprehend higher-order quantifiers. Our results support this distinction by demonstrating that FTD and AD patients, who have working memory limitations, have greater difficulty understanding higher-order quantifiers relative to first-order quantiWers [F(1, 77) D 124.29; p < .001]. An important implication of these findings is that the meaning of generalized quantifiers appears to involve two dissociable components, number knowledge and working memory, which are supported by distinct brain regions.
– Corey T McMillan, Robin Clark, Peachie Moore, Christian Devita, and Murray Grossman. 2005. “Neural Basis for Generalized Quantifier Comprehension.” Neuropsychologia 43 (12): 1729–37. doi:10.1016/j.neuropsychologia.2005.02.012.
Generalized quantifiers like “all cars” are semantically well understood, yet we know little about their neural representation. Our model of quantifier processing includes a numerosity device, operations that combine number elements and working memory. Semantic theory posits two types of quantifiers: first-order quantifiers identify a number state (e.g. “at least 3”) and higher-order quantifiers additionally require maintaining a number state actively in working memory for comparison with another state (e.g. “less than half”). We used BOLD fMRI to test the hypothesis that all quantifiers recruit inferior parietal cortex associated with numerosity, while only higher-order quantifiers recruit prefrontal cortex associated with executive resources like working memory. Our findings showed that first-order and higher-order quantifiers both recruit right inferior parietal cortex, suggesting that a numerosity component contributes to quantifier comprehension. Moreover, only probes of higher-order quantifiers recruited right dorsolateral prefrontal cortex, suggesting involvement of executive resources like working memory. We also observed activation of thalamus and anterior cingulate that may be associated with selective attention. Our findings are consistent with a large-scale neural network centered in frontal and parietal cortex that supports comprehension of generalized quantifiers.
Old papers on learnability and language change
– Robin Clark. 1992. “The Selection of Syntactic Knowledge.” Language Acquisition. 2(2). 83-149.
An experiment in using Genetic Algorithms to do parameter setting. Also shows an early interest in evolution and population modeling!
– Robin Clark and Ian Roberts. 1993. “A Computational Model of Language Learnability and Language Change.” Linguistic Inquiry. 24(2). 299-345.
This paper tries to apply the learning model of “The Selection of Syntactic Knowledge” to a case of language change (the position of verbs in French).