In the last decade, reading research has seen a paradigmatic shift. A new wave of computational models of orthographic processing that offer various forms of noisy position or context-sensitive coding have revolutionized the field of visual word recognition. The influx of such models stems mainly from consistent findings, coming mostly from European languages, regarding an apparent insensitivity of skilled readers to letter order. Underlying the current revolution is the theoretical assumption that the insensitivity of readers to letter order reflects the (...) special way in which the human brain encodes the position of letters in printed words. The present article discusses the theoretical shortcomings and misconceptions of this approach to visual word recognition. A systematic review of data obtained from a variety of languages demonstrates that letter-order insensitivity is neither a general property of the cognitive system nor a property of the brain in encoding letters. Rather, it is a variant and idiosyncratic characteristic of some languages, mostly European, reflecting a strategy of optimizing encoding resources, given the specific structure of words. Since the main goal of reading research is to develop theories that describe the fundamental and invariant phenomena of reading across orthographies, an alternative approach to model visual word recognition is offered. The dimensions of a possible universal model of reading, which outlines the common cognitive operations involved in orthographic processing in all writing systems, are discussed. (shrink)

Poverty of the Stimulus Arguments have convinced many linguists and philosophers of language that a domain specific language acquisition device (LAD) is necessary to account for language learning. Here we review empirical evidence that casts doubt on the necessity of this domain specific device. We suggest that more attention needs to be paid to the early stages of language acquisition. Many seemingly innate language-related abilities have to be learned over the course of several months. Further, the language input contains rich (...) stochastic information that can be accessed by domain-general learning mechanisms. Computer simulation has shown how mechanisms that are not domain specific can exploit the information contained in language. We conclude that (i) Poverty of the Stimulus Arguments need to be conceptually clarified and (ii) more empirical research needs to be carried out before we can rule out that data driven general purpose mechanisms can account for language learning. (shrink)

This paper focuses on the linguistic evidence base provided by proponents of conceptualism (e.g., Chomsky) and rational realism (e.g., Katz) and challenges some of the arguments alleging that the evidence allowed by conceptualists is superior to that of rational realists. Three points support this challenge. First, neither conceptualists nor realists are in a position to offer direct evidence. This challenges the conceptualists’ claim that their evidence is inherently superior. Differences between the kinds of available indirect evidence will be discussed. Second, (...) at least some of the empirical evidence provided by the conceptualist is flawed. It is not obtained independently of theoretical commitments, alternative interpretations have not been ruled out, and some of the thought experiments intended to extend the evidence base are conceptually flawed. Third, the widely held assumption that rational realism disallows empirical evidence relevant to linguistics is dubious. It will be shown that the limitation imposed by rational realism concerns strictly formal linguistics. The rationalist realist has no reason to impose any restriction on the evidence relevant to psycholinguistics. I conclude that it is a mistake to dismiss realism based on the assumption that it imposes undue restrictions on evidence that is relevant to linguistics. (shrink)

Frost has given us good reason to question the universality of existing computational models of reading. Yet, he has not provided arguments showing that all languages share fundamental and invariant reading universals. His goal of outlining the blueprint principles for a universal model of reading is premature. Further, it is questionable whether natural evolution can provide the optimal solutions that Frost invokes.

It has been widely assumed that all languages share some structural features; language universals. Evans and Levinson challenge this assumption and provide a wealth of empirical evidence supporting their claim that linguistic diversity is the most remarkable characteristic of human languages. The response to their paper reveals fundamental disagreements, indicating that different authors rely on substantially different definitions of key terms such as ‘language’ and ‘language universal’. In this paper I will not take sides but discuss the implications of these (...) different definitions on the debate and suggest that conceptual precision is essential for the success of the discipline-crossing collaboration that is needed in language evolution research. Insights gained from other debates in evolutionary theorizing should inform language evolution debates. (shrink)

Jones introduces an intricate machinery of kin classification that overcomes limitations of previous accounts. I question whether such a machinery is plausible. Because individuals never need to learn the entire spectrum of kin terminology, they could rely on data-driven learning. The complexity of Jones's machinery for kin classification casts doubt on the existence of innate structures that cover the complete linguistic domain.

Archer provides seemingly compelling evidence for his claim that sexual selection explains sex differences in human aggression better than social role theory. I challenge Archer's interpretation of some of this evidence. I argue that the same evidence could be used to support the claim that what has been selected for is the ability to curb aggression and discuss implications for Archer's theory.

Christiansen & Chater (C&C) argue persuasively that Universal Grammar (UG) could not have arisen through evolutionary processes. I provide additional suggestions to strengthen the argument against UG evolution. Further, I suggest that C&C's solution to the logical problem of language evolution faces several problems. Widening the focus to mechanisms of general cognition and inclusion of animal communication research might overcome these problems.

The target article by Christiansen & Chater offers an integrated framework for the study of language acquisition and, possibly, a novel role for internal speech in language acquisition. However, the “Now-or-Never bottleneck” raises a paradox for language evolution. It seems to imply that language complexity has been either reduced over time or has remained the same. How, then, could languages as complex as ours have evolved in prelinguistic ancestors? Linguistic Platonism could offer a solution to this paradox.

I argue that the overly simplistic scenarios discussed by Pothos & Busemeyer (P&B) establish at best that quantum probability theory (QPT) is a logical possibility allowing distinct predictions from classical probability theory (CPT). The article fails, however, to provide convincing evidence for the proposal that QPT offers unique insights regarding cognition and the nature of human rationality.

This book contains new articles by leading philosophers and linguists discussing a promising philosophical framework distinct from currently dominant ones: Linguistic Realism. As opposed to Nominalism and Chomskyian Conceptualism, this approach distinguishes between use of language, knowledge of language, and language as such. The latter is conceived as part of the realm of abstract objects. The authors show how adopting Linguistic Realism overcomes entrenched problems with other frameworks and suggest that Linguistic Realism will best serve those interested in formal linguistics, (...) the cognitive dimension of natural language, and linguistic philosophy. The essays offer different perspectives on Linguistic Realism, either supporting this paradigm or taking it as a starting point for developing modified conceptions of linguistics and for further tying linguistics to the kind of formal theories of sensory cognition that were pioneered in visual perception by David Marr--whose work is predicated on exactly the object/knowledge distinction made by Linguistic Realists. (shrink)

Paul ThagardCambridge, MA: MIT press, 2006313 pages, ISBN: 026220164X (hbk); $36.00Can human beliefs and inferences be understood as a form of coherence maximization? This question underlies much o...

Philosophical Psychology, Volume 0, Issue 0, Page 1-5, Ahead of Print.