scholarly journals The myth of language universals: Language diversity and its importance for cognitive science

2009 ◽  
Vol 32 (5) ◽  
pp. 429-448 ◽  
Author(s):  
Nicholas Evans ◽  
Stephen C. Levinson

AbstractTalk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the universal characteristics of language are, once we honestly confront the diversity offered to us by the world's 6,000 to 8,000 languages. After surveying the various uses of “universal,” we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition.Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels. Recognizing the true extent of structural diversity in human language opens up exciting new research directions for cognitive scientists, offering thousands of different natural experiments given by different languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills.

Author(s):  
Aysa Bitkeeva ◽  
Monika Wingender ◽  
Vida Mikhalchenko

The article considers the methodological basis of sociolinguistic research into language perspectives with a focus on linguistic diversity in the Russian Federation, the study of which is closely connected with such sociolinguistic concepts as language situation, language policy and language planning. Оver the recent decades, sociolinguistics has witnessed a real boom in new research showing a growing variety of methods for studying linguistic diversity. Closer consideration of these papers shows that the authors focus on the search for tools to analyze the prerequisites, history and current situation of linguistic diversity. However, research methods for the future development of linguistic diversity – linguistic forecasting, lack for scientific representation. Analysis of the prospects for the development of languages in present-day conditions is no less relevant research topic. The identification of the laws of language development requires a comprehensive approach from the position of sociolinguistics, which leads to the multifaceted nature of scientific research, the consideration of the object not only from the linguistic point of view, but also from sociolinguistic, psycholinguistic, ethnolinguistic etc. factors. The authors present an overview of sociolinguistic methods. As part of a combination of methods, which is justified by the variety of goals and subjects of linguistic forecasting, the authors analyze some possible methods of sociolinguistic forecasting (parametric, statistical, discursive) and their practical application in the study of linguistic diversity. The article concludes with forecasts for linguistic diversity in the Russian Federation.


2009 ◽  
Vol 32 (5) ◽  
pp. 472-492 ◽  
Author(s):  
Nicholas Evans ◽  
Stephen C. Levinson

AbstractOur response takes advantage of the wide-ranging commentary to clarify some aspects of our original proposal and augment others. We argue against the generative critics of our coevolutionary program for the language sciences, defend the use of close-to-surface models as minimizing cross-linguistic data distortion, and stress the growing role of stochastic simulations in making generalized historical accounts testable. These methods lead the search for general principles away from idealized representations and towards selective processes. Putting cultural evolution central in understanding language diversity makes learning fundamental in the cognition of language: increasingly powerful models of general learning, paired with channelled caregiver input, seem set to manage language acquisition without recourse to any innate “universal grammar.” Understanding why human language has no clear parallels in the animal world requires a cross-species perspective: crucial ingredients are vocal learning (for which there are clear non-primate parallels) and an intention-attributing cognitive infrastructure that provides a universal base for language evolution. We conclude by situating linguistic diversity within a broader trend towards understanding human cognition through the study of variation in, for example, human genetics, neurocognition, and psycholinguistic processing.


2020 ◽  
Vol 43 ◽  
Author(s):  
Charles P. Davis ◽  
Gerry T. M. Altmann ◽  
Eiling Yee

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.


Author(s):  
Carrie Figdor

Chapter 10 provides a summary of the argument of the book. It elaborates some of the benefits of Literalism, such as less conceptual confusion and an expanded range of entities for research that might illuminate human cognition. It motivates distinguishing the questions of whether something has a cognitive capacity from whether it is intuitively like us. It provides a conceptual foundation for the social sciences appropriate for the increasing role of modeling in these sciences. It also promotes convergence in terms of the roles of internal and external factors in explaining both human and nonhuman behavior. Finally, it sketches some of the areas of new research that it supports, including group cognition and artificial intelligence.


1992 ◽  
Vol 15 (3) ◽  
pp. 425-437 ◽  
Author(s):  
Allen Newell

AbstractThe book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made entirely by presenting an exemplar unified theory of cognition both to show what a real unified theory would be like and to provide convincing evidence that such theories are feasible. The exemplar is SOAR, a cognitive architecture, which is realized as a software system. After a detailed discussion of the architecture and its properties, with its relation to the constraints on cognition in the real world and to existing ideas in cognitive science, SOAR is used as theory for a wide range of cognitive phenomena: immediate responses (stimulus-response compatibility and the Sternberg phenomena); discrete motor skills (transcription typing); memory and learning (episodic memory and the acquisition of skill through practice); problem solving (cryptarithmetic puzzles and syllogistic reasoning); language (sentence verification and taking instructions); and development (transitions in the balance beam task). The treatments vary in depth and adequacy, but they clearly reveal a single, highly specific, operational theory that works over the entire range of human cognition, SOAR is presented as an exemplar unified theory, not as the sole candidate. Cognitive science is not ready yet for a single theory – there must be multiple attempts. But cognitive science must begin to work toward such unified theories.


Author(s):  
Waldemar Karwowski

This main objective of this study was to introduce and investigate the concept of load of perceptual indifference (LPI) for assessment of load heaviness in manual lifting tasks. The loads of perceptual indifference were defined as those box weights which would result in the same values of subjective compatibility scores for a given pair of perceptual categories of load heaviness. At the point of indifference, the loads are perceived as to be acceptable, safe or not-too-heavy with an equal strength as the loads judged to be too-heavy for continuous lifting. The linguistic magnitude estimation (LME) method (Karwowski, 1990) was used for experimental and modeling purposes. This allowed to develop a quantitative model for the human assessment of four categories of lifted loads of interest. The results indicate that the lack of cognitive benchmark introduces inconsistency in subjects perception of load acceptability and safety compared to the concept of to-heavy load. In order to overcome this problem, a new research approach to manual lifting tasks is needed, based on the integration of cognitive engineering, active psychophysics and ecological approach.


2017 ◽  
Vol 284 (1861) ◽  
pp. 20170706 ◽  
Author(s):  
Valentin Thouzeau ◽  
Philippe Mennecier ◽  
Paul Verdu ◽  
Frédéric Austerlitz

Linguistic and genetic data have been widely compared, but the histories underlying these descriptions are rarely jointly inferred. We developed a unique methodological framework for analysing jointly language diversity and genetic polymorphism data, to infer the past history of separation, exchange and admixture events among human populations. This method relies on approximate Bayesian computations that enable the identification of the most probable historical scenario underlying each type of data, and to infer the parameters of these scenarios. For this purpose, we developed a new computer program PopLingSim that simulates the evolution of linguistic diversity, which we coupled with an existing coalescent-based genetic simulation program, to simulate both linguistic and genetic data within a set of populations. Applying this new program to a wide linguistic and genetic dataset of Central Asia, we found several differences between linguistic and genetic histories. In particular, we showed how genetic and linguistic exchanges differed in the past in this area: some cultural exchanges were maintained without genetic exchanges. The methodological framework and the linguistic simulation tool developed here can be used in future work for disentangling complex linguistic and genetic evolutions underlying human biological and cultural histories.


Sofia ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 124-145 ◽  
Author(s):  
Diego Azevedo Leite

One of the central aims of the neo-mechanistic framework for the neural and cognitive sciences is to construct a pluralistic integration of scientific explanations, allowing for a weak explanatory autonomy of higher-level sciences, such as cognitive science. This integration involves understanding human cognition as information processing occurring in multi-level human neuro-cognitive mechanisms, explained by multi-level neuro-cognitive models. Strong explanatory neuro-cognitive reduction, however, poses a significant challenge to this pluralist ambition and the weak autonomy of cognitive science derived therefrom. Based on research in current molecular and cellular neuroscience, the framework holds that the best strategy for integrating human neuro-cognitive theories is through direct reductive explanations based on molecular and cellular neural processes. It is my aim to investigate whether the neo-mechanistic framework can meet the challenge. I argue that leading neo-mechanists offer some significant replies; however, they are not able yet to completely remove strong explanatory reductionism from their own framework.


Author(s):  
Tarja Susi ◽  
Tom Ziemke

This paper addresses the relation between an agent and its environment, and more specifically, how subjects perceive object/artefacts/tools and their (possible) use. Four different conceptions of the relation between subject and object are compared here: functional tone (von Uexküll), equipment (Heidegger), affordance (Gibson), and entry point (Kirsh). even as these concepts have developed within different disciplines (theoretical biology, philosophy, psychology, and cognitive science) and in very different historical contexts, they are used more or less interchangeably in much of the literature, and typically conflated under the label of ‘affordance’. However, at closer inspection, they turn out to have not only similarities, but also substantial differences, which are identified and discussed here. Given that the relation between subjects and their objects is crucial to understanding human cognition and interaction with tools and technology, as well as robots’ interaction with their environment, we argue that these differences deserve some more attention than they have received so far.


2007 ◽  
Vol 21 (1) ◽  
pp. 151-173
Author(s):  
Esteve Clua

This paper presents a method to teach intercomprehension (a strategy for simultaneous learning of receptive capacities in languages that belong to the same linguistic family) as a means for strengthening multilingualism in order to overcome communication problems generated by the growing need for interrelationships, without having to forsake language diversity. The paper introduces EuroCom, an intercomprehension project involving three large European linguistic families (Slavonic, Germanic, and Romance), and describes its methodology and strategies for learning. The article stresses the importance of intercomprehension for languages like Catalan as a strategy to truly promote the respect for linguistic diversity at the European and Spanish levels.


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