Iconicity and the Emergence of Combinatorial Structure in Language

In language, recombination of a discrete set of meaningless building blocks forms an unlimited set of possible utterances. How such combinatorial structure emerged in the evolution of human language is increasingly being studied. It has been shown that it can emerge when languages culturally evolve and adapt to human cognitive biases. How the emergence of combinatorial structure interacts with the existence of holistic iconic form‐meaning mappings in a language is still unknown. The experiment presented in this paper studies the role of iconicity and human cognitive learning biases in the emergence of combinatorial structure in artificial whistled languages. Participants learned and reproduced whistled words for novel objects with the use of a slide whistle. Their reproductions were used as input for the next participant, to create transmission chains and simulate cultural transmission. Two conditions were studied: one in which the persistence of iconic form‐meaning mappings was possible and one in which this was experimentally made impossible. In both conditions, cultural transmission caused the whistled languages to become more learnable and more structured, but this process was slightly delayed in the first condition. Our findings help to gain insight into when and how words may lose their iconic origins when they become part of an organized linguistic system.     

From Context to Code: Information Transfer Constrains the Emergence of Graphic Codes

Humans commit information to graphic symbols for three basic reasons: as a memory aid, as a tool for thinking, and as a means of communication. Yet, despite the benefits of transmitting information graphically, we still know very little about the biases and constraints acting on the emergence of stable, powerful, and accurate graphic codes (such as writing). Using a reference game, where participants play as Messengers and Recipients, we experimentally manipulate the function of the task (communicative or non‐communicative) and investigate whether this shapes the emergence of stable, powerful, and accurate codes for both synchronous and asynchronous modes of information transfer. Only in the Dialogue condition, where Messenger and Recipient are two different persons communicating within the same time frame (i.e., synchronously), do we consistently observe the emergence of stable, powerful, and accurate graphic codes. Such codes are unnecessary for participants in Recall, where Messenger and Recipient are the same person transferring information within the same time frame, and they fail to emerge in Correspondence, where Messenger and Recipient are two different persons communicating across time frames (i.e., asynchronously). Lastly, in the Mnemonic condition, where Messenger and Recipient are the same person at different points in time, participants achieve high accuracy but with codes that are suboptimal in terms of power and stability. Our results suggest that the rarity and late arrival of stable, powerful, and accurate graphic codes in human history largely stems from strong constraints on information transfer. In particular, we suggest that these constraints limit a code's ability to reach an adequate tradeoff between information that needs to be explicitly encoded and information that needs to be inferred from context.     

The Role of Social Network Structure in the Emergence of Linguistic Structure

Social network structure has been argued to shape the structure of languages, as well as affect the spread of innovations and the formation of conventions in the community. Specifically, theoretical and computational models of language change predict that sparsely connected communities develop more systematic languages, while tightly knit communities can maintain high levels of linguistic complexity and variability. However, the role of social network structure in the cultural evolution of languages has never been tested experimentally. Here, we present results from a behavioral group communication study, in which we examined the formation of new languages created in the lab by micro-societies that varied in their network structure. We contrasted three types of social networks: fully connected, small-world, and scale-free. We examined the artificial languages created by these different networks with respect to their linguistic structure, communicative success, stability, and convergence. Results did not reveal any effect of network structure for any measure, with all languages becoming similarly more systematic, more accurate, more stable, and more shared over time. At the same time, small-world networks showed the greatest variation in their convergence, stabilization, and emerging structure patterns, indicating that network structure can influence the community's susceptibility to random linguistic changes (i.e., drift).     

Language Evolution Can Be Shaped by the Structure of the World

Human languages vary in many ways but also show striking cross‐linguistic universals. Why do these universals exist? Recent theoretical results demonstrate that Bayesian learners transmitting language to each other through iterated learning will converge on a distribution of languages that depends only on their prior biases about language and the quantity of data transmitted at each point; the structure of the world being communicated about plays no role (Griffiths & Kalish, 2005 , 2007 ). We revisit these findings and show that when certain assumptions about the relationship between language and the world are abandoned, learners will converge to languages that depend on the structure of the world as well as their prior biases. These theoretical results are supported with a series of experiments showing that when human learners acquire language through iterated learning, the ultimate structure of those languages is shaped by the structure of the meanings to be communicated.     

Conceptual Structure and the Emergence of the Language Faculty: Much Ado about Knotting

Abstract

One perspective in contemporary linguistic theory defends the idea that the language faculty may result from the combinations of diverse systems and principles. As a case study, I critique a recent proposal by Juan Uriagereka and colleagues according to which the evolutionary emergence of the language faculty can be identified through studying the computational structure of knots as present within the fossil record. I here argue that the ability to conceptualize and, thereby, create knots is not parasitic on the ability to conceptualize and create language. On the contrary, these two domains are entirely distinct, unrelatable in terms of their computational complexity, expressive power or, most importantly, in terms of their requisite mental operations and principles. The overall approach defended here can profitably be employed in the study of the relationship between language and thought, as I briefly discuss in the case of the role of language in spatial reorientation.     

Minimal Requirements for the Emergence of Learned Signaling

The emergence of signaling systems has been observed in numerous experimental and real‐world contexts, but there is no consensus on which (if any) shared mechanisms underlie such phenomena. A number of explanatory mechanisms have been proposed within several disciplines, all of which have been instantiated as credible working models. However, they are usually framed as being mutually incompatible. Using an exemplar‐based framework, we replicate these models in a minimal configuration which allows us to directly compare them. This reveals that the development of optimal signaling is driven by similar mechanisms in each model, which leads us to propose three requirements for the emergence of conventional signaling. These are the creation and transmission of referential information, a systemic bias against ambiguity, and finally some form of information loss. Considering this, we then discuss some implications for theoretical and experimental approaches to the emergence of learned communication.     

The Challenges of Large-Scale,Web-Based Language Datasets: Word Length and Predictability Revisited

Language research has come to rely heavily on large-scale, web-based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long-standing challenges in corpus-based language research, including determining what counts as a word, deciding which words should be analyzed, and matching sets of words across languages. We illustrate these challenges by revisiting “Word lengths are optimized for efficient communication” (Piantadosi, Tily, & Gibson, 2011), which found that word lengths in 11 languages are more strongly correlated with their average predictability (or average information content) than their frequency. Using what we argue to be best practices for large-scale corpus analyses, we find significantly attenuated support for this result and demonstrate that a stronger relationship obtains between word frequency and length for a majority of the languages in the sample. We consider the implications of the results for language research more broadly and provide several recommendations to researchers regarding best practices.     

Interaction Between Syntactic Structure and Information Structure in the Processing of a Head-Final Language

The effects of syntactic and information structures on sentence processing load were investigated using two reading comprehension experiments in Japanese, a head-final SOV language. In the first experiment, we discovered the main effects of syntactic and information structures, as well as their interaction, showing that interaction of these two factors is not restricted to head-initial languages. The second experiment revealed that the interaction between syntactic structure and information structure occurs at the second NP (O of SOV and S of OSV), which, crucially, is a pre-head position, suggesting the incremental nature of the processing of both syntactic structure and information structure in head-final languages.     

Network Connectivity Dynamics,Cognitive Biases,and the Evolution of Cultural Diversity in Round-Robin Interactive Micro-Societies

The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and by selection pressures. The temporal dynamics of social network connectivity, that is, the order in which individuals in a population interact with each other, has been largely unexplored. In this paper, we investigate how, in a fully connected social network, connectivity dynamics, alone and in interaction with different cognitive biases, affect the evolution of cultural variants. Using agent-based computer simulations, we manipulate population connectivity dynamics (early, mid, and late full-population connectivity); content bias, or a preference for high-quality variants; coordination bias, or whether agents tend to use self-produced variants (egocentric bias), or to switch to variants observed in others (allocentric bias); and memory size, or the number of items that agents can store in their memory. We show that connectivity dynamics affect the time-course of variant spread, with lower connectivity slowing down convergence of the population onto a single cultural variant. We also show that, compared to a neutral evolutionary model, content bias accelerates convergence and amplifies the effects of connectivity dynamics, while larger memory size and coordination bias, especially egocentric bias, slow down convergence. Furthermore, connectivity dynamics affect the frequency of high-quality variants (adaptiveness), with late connectivity populations showing bursts of rapid change in adaptiveness followed by periods of relatively slower change, and early connectivity populations following a single-peak evolutionary dynamic. We evaluate our simulations against existing data collected from previous experiments and show how our model reproduces the empirical patterns of convergence.     

Exploring the Relation Between Memory, Gestural Communication, and the Emergence of Language in Infancy: A Longitudinal Study

The relationship between recall memory, visual recognition memory, social communication, and the emergence of language skills was measured in a longitudinal study. Thirty typically developing Swedish children were tested at 6, 9 and 14 months. The result showed that, in combination, visual recognition memory at 6 months, deferred imitation at 9 months and turn-taking skills at 14 months could explain 41% of the variance in the infants' production of communicative gestures as measured by a Swedish variant of the MacArthur Communicative Development Inventories (CDI). In this statistical model, deferred imitation stood out as the strongest predictor.     

Big Gods,socio-cultural evolution and the non-obvious merits of a sociological interpretation

ABSTRACT

Much of the recent, renewed interest in the cultural evolution of religion has been driven by findings in experimental and cognitive psychology, and, as a result of disciplinary boundaries, sociologists have engaged very little with this new data and theory. In order to bring sociology formally back into this discussion, we provide in this paper five sociological sources for the birth and diffusion of ‘Big God’ ideation (with monotheism serving as a paradigmatic case). Agentically, we suggest that Big God beliefs assuaged existential anxiety, aided in elite legitimation and were useful for religious entrepreneurs hoping to establish new institutional fields. Structurally, we suggest that Big God beliefs may have been an epiphenomenal attempt by people to symbolically represent the centralization of political authority and the intensified use of new technologies. We conclude with a general theory of the cultural evolution of Big Gods that integrates these agentic and structural explanations.     

Affect,Behaviour, Cognition and Desire in the Big Five: An Analysis of Item Content and Structure

Personality psychology is concerned with affect (A), behaviour (B), cognition (C) and desire (D), and personality traits have been defined conceptually as abstractions used to either explain or summarise coherent ABC (and sometimes D) patterns over time and space. However, this conceptual definition of traits has not been reflected in their operationalisation, possibly resulting in theoretical and practical limitations to current trait inventories. Thus, the goal of this project was to determine the affective, behavioural, cognitive and desire (ABCD) components of Big‐Five personality traits. The first study assessed the ABCD content of items measuring Big‐Five traits in order to determine the ABCD composition of traits and identify items measuring relatively high amounts of only one ABCD content. The second study examined the correlational structure of scales constructed from items assessing ABCD content via a large, web‐based study. An assessment of Big‐Five traits that delineates ABCD components of each trait is presented, and the discussion focuses on how this assessment builds upon current approaches of assessing personality. Copyright © 2015 European Association of Personality Psychology     

Personality in the age of industry: Structure,heritability, and correlates of personality in middle childhood from the perspective of parents,teachers, and children

Middle childhood is a crucial juncture in the lifespan where children work toward achieving a sense of competence foundational for future development. However, middle childhood has historically been underrepresented in the personality literature. The current study provides a comprehensive examination of personality in middle childhood using a large (N = 2510), longitudinal sample of 10- to 12-year-old twins. The structure, heritability, and correlates of personality in this period were investigated using personality ratings of parents, teachers, and children. Results showed that personality in middle childhood has a coherent structure, is heritable, and is relevant for developmentally salient outcomes such as externalizing behavior, substance use, and academic engagement. Results emphasize the importance of investigating personality in middle childhood across multiple informants.     

From the Universe of Knowledge to the Universe of Concepts: The Structural Revolution in Classification for Information Retrieval

During the twentieth century, bibliographic classification theory underwent a structural revolution. The first modern bibliographic classifications were top-down systems that started at the universe of knowledge and subdivided that universe downward to minute subclasses. After the invention of faceted classification by S.R. Ranganathan, the ideal was to build bottom-up classifications that started with the universe of concepts and built upward to larger and larger faceted classes. This ideal has not been achieved, and the two kinds of classification systems are not mutually exclusive. This paper examines the process by which this structural revolution was accomplished by looking at the spread of facet theory after 1924 when Ranganathan attended the School of Librarianship, London, through selected classification textbooks that were published after that date. To this end, the paper examines the role of W.C.B. Sayers as a teacher and author of three editions of The Manual of Classification for Librarians and Bibliographers. Sayers influenced both Ranganathan and the various members of the Classification Research Group (CRG) who were his students. Further, the paper contrasts the methods of evaluating classification systems that arose between Sayers’s Canons of Classification in 1915–1916 and J. Mills’s A Modern Outline of Library Classification in 1960 in order to demonstrate the speed with which one kind of classificatory structure was overtaken by another.

先前知识、超文本层次深度和类型对低结构化信息搜索的影响

探讨先前知识、超文本层次深度和类型对低结构化中文信息搜索的影响。采用2(先前知识)×8(文本组织形式)的被试间设计,以平均搜索时间和迷路指数为因变量。结果发现:(1)先前知识对线性文本和超文本(尤其是层次型超文本)的搜索均有利;(2)随着层次深度的增加,对超文本的搜索时间显著增加,迷路指数也呈增加的趋势;(3)搜索线性文本的迷路指数显著低于超文本;(4)不同类型超文本的搜索绩效基本无显著差异。因此,先前知识、层次深度对超文本信息搜索的影响比超文本类型和信息的结构化水平更重要。     

Factor structure,validity, and reliability of the fear questionnaire in a Hong Kong Chinese population

This study examined the factor structure, validity, and reliability of the Fear Questionnaire in Hong Kong. The sample consisted of 226 college students who were ethnic Chinese and they came from different parts of Hong Kong. Exploratory factor analysis produced three meaningful factors. Confirmatory factor analysis supported the three-factor model of Marks and Mathews (1979) in the present sample of subjects. Findings also showed that the Fear Questionnaire was both reliable and valid. Limitations of the study and implications for future research in this area were discussed. In particular, the need to assess the cross-cultural application of the Fear Questionnaire was stressed.This research project was supported by the Research and Conference Grants of the University of Hong Kong.     

Imagery Value,Subjective and Objective Frequency,Date of Entry into the Language,and Degree of Polysemy in a Sample of 998 French Words

A random sample of 998 lexical words was drawn from a dictionary of the French language. Two groups of subjects rated the words for imagery value (IV) and subjective frequency (SF). Despite substantial individual differences in the ratings, the subjective measures were highly reliable (α = 0.98 for both IV and SF). The relation between the standard deviation and the mean of the ratings can be described by a quadratic function (R = 0.93 for IV and R = 0.75 for SF). The independence of IV and frequency was confirmed. IV was found to be partially dependent on grammatical category (η = 0.50) and slightly dependent on polysemy. Date of entry into the language (DE) was correlated with objective and subjective frequency. The correlation between DE and IV was weak. The words and their characteristics are presented in the Appendix.     

The effect of polygamous marital structure on behavioral,emotional, and academic adjustment in children: a comprehensive review of the literature

Polygamy represents expanded family structures that are based on marriages involving a husband with 2 or more wives. Interestingly, polygamy is legally and widely practiced in 850 societies across the globe. In the last 2 decades, polygamy has been the focus of a significant growth in public, political, and academic awareness. Indeed, several quantitative and qualitative research articles and theoretical papers have emerged during this period, particularly concerning the effects of this form of marital structure on behavioral, emotional, and academic adjustment of children. However, to date, no researcher has provided a summary of the extant literature. Thus, the purpose of this comprehensive literature review is to summarize findings and to discuss implications of empirical studies that have examined whether polygamous marital structures are beneficial or harmful to children in comparison with children raised in monogamous marital structures. This review includes a summary of the findings from all quantitative and qualitative studies in the extant literature that have examined the effect of polygamy on children's outcomes.