This book takes an exciting perspective on language change, by explaining it in terms of Darwin's evolutionary theory. Looking at a number of developments in the history of sounds and words, Nikolaus Ritt shows how the constituents of language can be regarded as mental patterns, or 'memes', which copy themselves from one brain to another when communication and language acquisition take place. Memes are both stable in that they transmit faithfully from brain to brain, and active in that their success (...) at replicating depends upon their own properties. Ritt uses this controversial approach to challenge established models of linguistic competence, in which speakers acquire, use, and shape language. In Darwinian terms, language evolution is something that happens to, rather than through, speakers, and the interests of linguistic constituents matter more than those of their human 'hosts'. This book will stimulate debate among evolutionary biologists, cognitive scientists and linguists alike. (shrink)

The bifocal stance theory (BST) focuses on cultural evolution without alluding to associated processes in linguistic evolution and language use. The authors briefly comment on language acquisition but leave underexplored the applicability of BST to linguistic evolution, to changes of language representations, and to possible consequences for constructing social identity, based on, for example, collective resilience processes within language communities.

Rule-like behaviour is found throughout human language, provoking a number of apparently conflicting explanations. This paper frames the topic in terms of Tinbergen’s four questions and works within the context of rule-like behaviour seen both in nature and the non-linguistic domain in humans. I argue for a minimal account of linguistic rules which relies on powerful domain-general cognition, has a communicative function allowing for multiple engineering solutions, and evolves mainly culturally, while leaving the door open for some genetic (...) adaptation in the form of learning biases. (shrink)

Christiansen & Chater's (C&C's) argument rests on an assumption that convergent cultural evolution can produce similar (complex) behaviours in isolated populations. In this commentary, I describe how experiments recently carried out by Caldwell and colleagues can contribute to the understanding of such phenomena.

It is widely assumed that language in some form or other originated by piggybacking on pre-existing learning mechanism not dedicated to language. Using evolutionary connectionist simulations, we explore the implications of such assumptions by determining the effect of constraints derived from an earlier evolved mechanism for sequential learning on the interaction between biological and linguistic adaptation across generations of language learners. Artificial neural networks were initially allowed to evolve “biologically” to improve their sequential learning abilities, after which language was (...) introduced into the population. We compared the relative contribution of biological and linguistic adaptation by allowing both networks and language to change over time. The simulation results support two main conclusions: First, over generations, a consistent head-ordering emerged due to linguistic adaptation. This is consistent with previous studies suggesting that some apparently arbitrary aspects of linguistic structure may arise from cognitive constraints on sequential learning. Second, when networks were selected to maintain a good level of performance on the sequential learning task, language learnability is significantly improved by linguistic adaptation but not by biological adaptation. Indeed, the pressure toward maintaining a high level of sequential learning performance prevented biological assimilation of linguistic-specific knowledge from occurring. (shrink)

It is widely assumed that language in some form or other originated by piggybacking on pre-existing learning mechanism not dedicated to language. Using evolutionary connectionist simulations, we explore the implications of such assumptions by determining the effect of constraints derived from an earlier evolved mechanism for sequential learning on the interaction between biological and linguistic adaptation across generations of language learners. Artificial neural networks were initially allowed to evolve “biologically” to improve their sequential learning abilities, after which language was (...) introduced into the population. We compared the relative contribution of biological and linguistic adaptation by allowing both networks and language to change over time. The simulation results support two main conclusions: First, over generations, a consistent head-ordering emerged due to linguistic adaptation. This is consistent with previous studies suggesting that some apparently arbitrary aspects of linguistic structure may arise from cognitive constraints on sequential learning. Second, when networks were selected to maintain a good level of performance on the sequential learning task, language learnability is significantly improved by linguistic adaptation but not by biological adaptation. Indeed, the pressure toward maintaining a high level of sequential learning performance prevented biological assimilation of linguistic-specific knowledge from occurring. (shrink)

With human language, the same utterance can have different meanings in different contexts. Nevertheless, listeners almost invariably converge upon the correct intended meaning. The classic Gricean explanation of how this is achieved posits the existence of four maxims of conversation, which speakers are assumed to follow. Armed with this knowledge, listeners are able to interpret utterances in a contextually sensible way. This account enjoys wide acceptance, but it has not gone unchallenged. Specifically, Relevance Theory offers an explicitly cognitive account of (...) utterance interpretation that presents a radical challenge to the neo‐Gricean paradigm. Evolutionary considerations are one way in which we can choose between competing theories. A simple game‐theoretic model of the evolution of communication is presented, and it is used to derive a number of basic qualities that will be satisfied by all evolved communication systems. These qualities are observed to precisely predict the foundational principles of Relevance Theory. The model thus provides biological support for that enterprise in general, and for the plausibility of the cognitive mechanisms that it describes in particular. (shrink)

In a critical review of late twentieth-century gene-culture co-evolutionary models labelled as ‘global phylogeny’, the authors present evidence for the long legacy of co-evolutionary theories in European-based thinking, highlighting that (1) ideas of social and cultural evolution preceded the idea of biological evolution, (2) linguistics played a dominant role in the formation of a unified theory of human co-evolution, and (3) that co-evolutionary thinking was only possible due to perpetuated and renewed transdisciplinary reticulations between scholars of different (...) disciplines—especially within the integrative framework of the ‘humanid’ and the ‘hominid’ branches of anthropology. (shrink)

In this book, Kate Distin proposes a theory of cultural evolution and shows how it can help us to understand the origin and development of human culture. Distin introduces the concept that humans share information not only in natural languages, which are spoken or signed, but also in artefactual languages like writing and musical notation, which use media that are made by humans. Languages enable humans to receive and transmit variations in cultural information and resources. In this way, they (...) provide the mechanism for cultural evolution. The human capacity for metarepresentation - thinking about how we think - accelerates cultural evolution, because it frees cultural information from the conceptual limitations of each individual language. Distin shows how the concept of cultural evolution outlined in this book can help us to understand the complexity and diversity of human culture, relating her theory to a range of subjects including economics, linguistics, and developmental biology. (shrink)

In this third and last article on the evolution of religious capacity, the authors focus on compassion, one of religious expression's common companions. They explore the various meanings of compassion, using Biblical and early related documents, and derive general cognitive components before an evolutionary analysis of compassion using their model. Then, in taking on neural reuse theory, they adapt a model from linguistics theory to understand how neural reuse could have operated to fix religious capacity in the human genome. (...) They present a teaching tool on “Religious Capacity in Action,” and develop an example of compassionate decision making in very early Homo sapiens in North Africa. They round out their analysis of compassion by exploring theory in neuroscience on a standard decision-making model, and investigate what goes on in the human brain when a values-based decision is made. (shrink)

This chapter explores an alternative proposal for the linguistic impact of Wari expansion: that it could in fact have been two-fold, dispersing both Quechua and Aymara simultaneously. To this end, it invokes the distinctive Andean institutions of ‘complementary asymmetric dualism’, to explore whether they might not have linguistic correlates too. Specifically, it looks to the wari–llaqwash dyadism between mid-altitude, maize-cultivating wari, hypothesized as speaking Quechua, and higher-altitude, camelid-herding llaqwash speaking Aymara.

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, , ). 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. (shrink)

Most biologists and some cognitive scientists have independently reached the conclusion that there is no such thing as learning in the traditional “instructive‘ sense. This is, admittedly, a somewhat extreme thesis, but I defend it herein the light of data and theories jointly extracted from biology, especially from evolutionary theory and immunology, and from modern generative grammar. I also point out that the general demise of learning is uncontroversial in the biological sciences, while a similar consensus has not yet been (...) reached in psychology and in linguistics at large. Since many arguments presently offered in defense of learning and in defense of “general intelligence‘ are often based on a distorted picture of human biological evolution, I devote some sections of this paper to a critique of “adaptationism,‘ providing also a sketch of a better evolutionary theory. Moreover, since certain standard arguments presented today as “knock-down‘ in psychology, in linguistics and in artificial intelligence are a perfect replica of those once voiced by biologists in favor of instruction and against selection, I capitalize on these errors of the past to draw some lessons for the present and for the future. (shrink)

The Homeric epics are among the greatest masterpieces of literature, but when they were produced is not known with certainty. Here we apply evolutionary-linguistic phylogenetic statistical methods to differences in Homeric, Modern Greek and ancient Hittite vocabulary items to estimate a date of approximately 710–760 BCE for these great works. Our analysis compared a common set of vocabulary items among the three pairs of languages, recording for each item whether the words in the two languages were cognate – derived (...) from a shared ancestral word – or not. We then used a likelihood-based Markov chain Monte Carlo procedure to estimate the most probable times in years separating these languages given the percentage of words they shared, combined with knowledge of the rates at which different words change. Our date for the epics is in close agreement with historians' and classicists' beliefs derived from historical and archaeological sources. (shrink)

A crucial design feature of language useful for determining when grammatical language evolved in the human lineage is our ability to combine meaningless units to form a new unit with meaning (combinatoriality) and to further combine these meaningful units into a larger unit with a novel meaning (compositionality). There is overlap between neural bases that underlie hierarchical cognitive functions required for compositionality in both linguistic and nonlinguistic contexts (e.g., tool use). Therefore, evidence of compositional tool use in the archaeological (...) record should signify, at the very least, the cognitive capacity for grammatical language by that point in time. We devise a novel system to evaluate the level of hierarchical nesting of tool components in single tool use activities. In the application of this system, we demonstrate that nonhuman primates, and by extension, the last common ancestor shared by Pan and Homo, are capable of basic combinatoriality; however, their technology does not approach the compositionality observable in modern human tool use. The prehistoric archaeological record supports a continuous evolution of combinatorial tool use into compositional tool use, with evidence for human-like levels of by 0.93 million years ago (Ma), or possibly as early as 1.7 Ma. While compositional language could have lagged behind compositional tool use, if language and technology coevolved according to the Technological Origin for Language hypothesis, which proposes a feedback system between the two, then evidence for hierarchical tool use structures implies a similar level of complexity in linguistic structures. (shrink)

Sir John Eccles, a distinguished scientist and Nobel Prize winner who has devoted his scientific life to the study of the mammalian brain, tells the story of...

Cross-linguistic studies focus on inverse correlations (trade-offs) between linguistic variables that reflect different cues to linguistic meanings. For example, if a language has no case marking, it is likely to rely on word order as a cue for identification of grammatical roles. Such inverse correlations are interpreted as manifestations of language users’ tendency to use language efficiently. The present study argues that this interpretation is problematic. Linguistic variables, such as the presence of case, or flexibility of (...) word order, are aggregate properties, which do not represent the use of linguistic cues in context directly. Still, such variables can be useful for circumscribing the potential role of communicative efficiency in language evolution, if we move from cross-linguistic trade-offs to multivariate causal networks. This idea is illustrated by a case study of linguistic variables related to four types of Subject and Object cues: case marking, rigid word order of Subject and Object, tight semantics and verb-medial order. The variables are obtained from online language corpora in thirty languages, annotated with the Universal Dependencies. The causal model suggests that the relationships between the variables can be explained predominantly by sociolinguistic factors, leaving little space for a potential impact of efficient linguistic behavior. (shrink)

Though modern non-cognitivists in ethics characteristically believe that values are irreducible to facts, they nevertheless believe that values are determined by facts, viz., those specified in functionalist, explanatory theories of the evolutionary origin of morality. The present paper probes the consistency of this position. The conventionalist theories of Hume and Harman are examined, and are seen not to establish a tight determinative reduction of values to facts. This result is illustrated by reference to recent theories of the sociobiological mechanisms involved (...) in moral evolution. Though explanatory theories have linguistic implications,exaggerated in Harman's linguistic form of social relativism, there is also failure to establish the semantic reductionism which non-cognitivists reject under the rubric of ethical naturalism. It is concluded that explanatory forms of naturalism, the best of which is a functionalist-utilitarian account, are compatible with the fact/value distinction. (shrink)

Globalization has now become an integral part of our lives. One of the basic components of globalization is the integration process that involves all areas of human life including language evolution. We consequently look at this problem in terms of language and natural language processes influenced by a complex variety of factors—both interlinguistic and extralinguistic-focusing mainly on the linguistic contacts with emphasis on areal aspects.

Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages from this (...) posterior distribution, iterated learning converges to a distribution over languages that is determined entirely by the prior. Under these conditions, iterated learning is a form of Gibbs sampling, a widely-used Markov chain Monte Carlo algorithm. The consequences of iterated learning are more complicated when learners choose the language with maximum posterior probability, being affected by both the prior of the learners and the amount of information transmitted between generations. We show that in this case, iterated learning corresponds to another statistical inference algorithm, a variant of the expectation-maximization (EM) algorithm. These results clarify the role of iterated learning in explanations of linguistic universals and provide a formal connection between constraints on language acquisition and the languages that come to be spoken, suggesting that information transmitted via iterated learning will ultimately come to mirror the minds of the learners. (shrink)

The set of design features developed by Charles Hockett in the 1950s and 1960s remains probably the most influential means of juxtaposing animal communication with human language. However, the general theoretical perspective of Hockett is largely incompatible with that of modern language evolution research. Consequently, we argue that his classificatory system—while useful for some descriptive purposes—is of very limited use as a theoretical framework for evolutionary linguistics. We see this incompatibility as related to the ontology of language, i.e. deriving (...) from Hockett’s interest in language as a product rather than a suite of sensorimotor, cognitive and social abilities that enable the use but also acquisition of language by biological creatures. After a reconstruction of Hockett’s views on design features, we raise two criticisms: focus on the means at the expense of content and focus on the code itself rather than the cognitive abilities of its users. Finally, referring to empirical data, we illustrate some of the problems resulting from Hockett’s approach by addressing three specific points—namely arbitrariness and semanticity, cultural transmission, and displacement—and show how the change of perspective allows to overcome those difficulties. (shrink)

Ludovico Marracci at Work: The Evolution of His Latin Translation of the Qurʾān in the Light of His Newly Discovered Manuscripts. With an Edition and a Comparative Linguistic Analysis of Sura 18. By Reinhold F. Glei and Roberto Tottoli. Corpus Islamo-Christianum, Arabica-Latina, vol. 1. Wiesbaden: harraSSoWitz, 2016. Pp. 188. €48.

Are non-human animals conscious? When do babies begin to feel pain? What function is served by consciousness? What evidence could resolve these issues? In The Evolution of Consciousness, psychologist Euan Macphail tackles these questions and more by exploring such topics as: animal cognition; unconscious learning and perception in humans; infantile amnesia; theory of mind in primates; and the nature of pleasure and pain. Experimental results are placed in theoretical context by tracing the development of concepts of consciousness in animals (...) and humans. Written in an accessible style, this book will be of interest to students and professionals in psychology, philosophy, and linguistics, as well as all those interested in the nature of consciousness. (shrink)

The evolution of color categorization systems is investigated by simulating categorization games played by a population of artificial agents. The constraints placed on individual agent’s perception and cognition are minimal and involve limited color discriminability and learning through reinforcement. The main dynamic mechanism for population evolution is pragmatic in nature: There is a pragmatic need for communication between agents, and if the results of such communications have positive consequences in their shared world then the agents involved are positively (...) rewarded, whereas if the results have negative consequences, then involved agents are punished. A mechanism for changing the composition of the population due to agents’ birth and death is also investigated. This birth-death mechanism is found to effectively move an established population color naming system toward a theoretically more optimal one. The simulation results of this article provide insights regarding mechanisms that may constrain universal tendencies in human color categorization systems observed in the linguistic and anthropological literatures. (shrink)

In a critical review of late twentieth-century gene-culture co-evolutionary models labelled as ‘global phylogeny’, the authors present evidence for the long legacy of co-evolutionary theories in European-based thinking, highlighting that (1) ideas of social and cultural evolution preceded the idea of biological evolution, (2) linguistics played a dominant role in the formation of a unified theory of human co-evolution, and (3) that co-evolutionary thinking was only possible due to perpetuated and renewed transdisciplinary reticulations between scholars of different (...) disciplines—especially within the integrative framework of the ‘humanid’ and the ‘hominid’ branches of anthropology. (shrink)

Alan Barnard's Language in Prehistory attempts to find an accommodation between linguistic and evolutionary theory and apply insights from archeology and anthropology to the origins and purposes of language. Rudolph Botha's Language Evolution: The Windows Approach is a critique of employing evidence from other fields. Botha also critiques conclusions drawn from pidgins and creoles, homesign, motherese, grammaticalization, language acquisition, protolanguage, and comparative animal behavior. This review attempts in turn to bring into question the appropriateness of applying the framework (...) of generative linguistics, and its style of argumentation, to prehistory. (shrink)

For decades, interdisciplinary research efforts have accumulated insights that diminish the significance of the classic nature versus nurture dichotomy, instead calling for a nuanced, multifactorial approach to ontogeny. Similarly, the role of genes in both phylogeny and ontogeny, once seen as rather deterministic, is now conceptualized as highly dependent on environmental factors, including behavior. Linguistic theories have, in principle, made an effort to incorporate these changing views. However, the central claim of the given paper is that this apparent compliance (...) with biological insights remains superficial. As such, considerable disconnects between linguistic theory and what is known about the biological underpinnings of complex traits persist, negatively impacting pertinent views on language acquisition, language universals and the evolution of language. Given the breadth of these fields of study, the aim of this paper is to tackle the root of the problem: It begins by sketching out linguistic nativism as conceptualized within generativism, pointing to aspects within this position that stand in conflict with the interdisciplinary literature. It will then review select areas of research in a succinct manner in order to substantiate the criticism and characterize the counterposition as found within the biological sciences. The paper will culminate in addressing these disconnects on conceptual grounds, i.e. invoking the term emergence as employed in neuroscience as a possible means to reconcile those biological insights with linguistic nativism. (shrink)

Conscious Agency is a major driver of evolution. Artificial Selection (i.e. Conscious Selection by human breeders) was the foil against which Charles Darwin defined Natural Selection. In later work, he extended Artificial Selection to other species. That ability for social (e.g. sexual) selection must have evolved. Jablonka and Ginsburg identify markers of conscious agency, such as Unlimited Associative Learning (UAL), and show that it must have existed at the time of the Cambrian Explosion. To their insights, my commentary argues (...) that the harnessing of stochasticity was also involved in the evolution of the faculty of choice in organisms. (shrink)

Aspects of human symbolic evolution are studied by scholars active in a variety of fields and disciplines in the life and the behavioral sciences as well as the scientific-philosophical, sociological, anthropological, and linguistic sciences. These fields and disciplines all take on an evolutionary approach to the study of human symbolism, but scholars disagree in their theoretical and methodological attitudes. Theoretically, symbolism is defined differentially as knowledge, behavior, cognition, culture, language, or social group living. Methodologically, the diverse symbolic (...) class='Hi'>evolution sciences establish their teachings upon diverging evolutionary biological schools and paradigms. This chapter reviews past and current research fields in human symbolic evolution for how they differentially implement tenets of the major evolution schools that were discussed in the previous chapter. Traditional evolutionary epistemology and biosemiotics bring in a mesoevolutionary outlook by drawing on early Darwinism and evolutionary developmental biology movements that emphasize the role of the organism in evolution. Communication studies instead originally take on a microevolutionary perspective by investigating how units of information are transmitted across generations through time. Only later do they integrate studies on meaning-making at the organismal level. Sociobiology complements a microevolutionary with a macroevolutionary outlook by implementing population genetic approaches, typical of the Modern Synthesis, into studies on individual and group behavior. The new symbolic evolutionary sciences build upon these traditions and include disciplines such as evolutionary psychology, evolutionary linguistics, evolutionary anthropology, evolutionary archaeology, evolutionary sociology, and evolutionary economics. Originally centered on implementing Darwinian selection theory, these fields are now including ecological and evolutionary developmental biology as well as reticulate evolutionary paradigms. As diverse in outlook and scope as they are, no discipline holds a privileged position over the other and all have made valuable contributions to our understanding of human symbolic evolution. (shrink)

The amount of information conveyed by linguistic conventions depends on their precision, yet the codes that humans and other animals use to communicate are quite ambiguous: they may map several vague meanings to the same symbol. How does semantic precision evolve, and what are the constraints that limit it? We address this question using a multiplayer gaming app, where individuals communicate with one another in a scaled-up referential game. Here, the goal is for a sender to use black and (...) white symbols to communicate colors. We expected that the players’ mappings between symbols and colors would grow more specific over time, through a selection process whereby precise mappings are preferentially copied. We found that players become increasingly more precise in their use of symbols over the course of their interactions. This trend did not, however, result from selective copying of precise mappings. We explore the implications of this result for the study of lexical ambiguity, Zipf's Law of Meaning, and disagreements over semantic conventions. (shrink)

This book develops a theory of how the imagination functions, and how it evolved. The imagination is characterized as an embodied cognitive system. The system draws upon sensory-motor, visual, and linguistic capacities, but it is a flexible, developmental ability, typified by creative improvisation. The imagination is a voluntary simulation system that draws on perceptual, emotional, and conceptual elements, for the purpose of creating works that adaptively investigate external (environmental) and internal (psychological) resources. Beyond the adaptive useful values of this (...) system, imagination also possesses significant intrinsic value (e.g., in the joy of play, and states of wonder). The book argues that imagination is not a late arrival in the evolution of mind, but one of the earliest human abilities. (shrink)

For many years the evolution of language has been seen as a disreputable topic, mired in fanciful “just so stories” about language origins. However, in the last decade a new synthesis of modern linguistics, cognitive neuroscience and neo-Darwinian evolutionary theory has begun to make important contributions to our understanding of the biology and evolution of language. I review some of this recent progress, focusing on the value of the comparative method, which uses data from animal species to draw (...) inferences about language evolution. Discussing speech first, I show how data concerning a wide variety of species, from monkeys to birds, can increase our understanding of the anatomical and neural mechanisms underlying human spoken language, and how bird and whale song provide insights into the ultimate evolutionary function of language. I discuss the “descended larynx” of humans, a peculiar adaptation for speech that has received much attention in the past, which despite earlier claims is not uniquely human. Then I will turn to the neural mechanisms underlying spoken language, pointing out the difficulties animals apparently experience in perceiving hierarchical structure in sounds, and stressing the importance of vocal imitation in the evolution of a spoken language. Turning to ultimate function, I suggest that communication among kin (especially between parents and offspring) played a crucial but neglected role in driving language evolution. Finally, I briefly discuss phylogeny, discussing hypotheses that offer plausible routes to human language from a non-linguistic chimp-like ancestor. I conclude that comparative data from living animals will be key to developing a richer, more interdisciplinary understanding of our most distinctively human trait: language. (shrink)

The way language as a human faculty has evolved is a question that preoccupies researchers from a wide spread of disciplines. In this book, a team of writers has been brought together to examine the evolution of language from a variety of such standpoints, including language's genetic basis, the anthropological context of its appearance, its formal structure, its relation to systems of cognition and thought, as well as its possible evolutionary antecedents. The book includes Hauser, Chomsky, and Fitch's seminal (...) and provocative essay on the subject, 'The Faculty of Language,' and charts the progress of research in this active and highly controversial field since its publication in 2002. This timely volume will be welcomed by researchers and students in a number of disciplines, including linguistics, evolutionary biology, psychology, and cognitive science. (shrink)

Drawing on perspectives ranging from generative syntax, optimality theory, computational linguistics, sign language phonology, and language evolution studies, this book explores the current philosophical issues in theoretical linguistics. It is an essential read for linguists, cognitive scientists and philosophers working in language studies.

Gärdenfors (Conceptual spaces, 2000) argues that the semantic domains that natural language deals with have a geometrical structure. He gives evidence that simple natural language adjectives usually denote natural properties, where a natural property is a convex region of such a “conceptual space.” In this paper I will show that this feature of natural categories need not be stipulated as basic. In fact, it can be shown to be the result of evolutionary dynamics of communicative strategies under very general assumptions.

Linguistics falls in the gap between arts and science, on the edges of which the most fascinating discoveries and the most important problems are found. Rather than following the conventional organization of many contemporary introductions to the subject, the author of this stimulating guide begins his discussion with the oldest, 'arts' end of the subject and moves chronologically through to the newest research - the 'science' aspects. A series of short thematic chapters look in turn at such areas as the (...) prehistory of languages and their common origins, language and evolution, language in time and space, grammars and dictionaries, and phonetics. Explication of the newest discoveries pertaining to language in the brain completes the coverage of all major aspects of linguistics from a refreshing and insightful angle. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable. (shrink)

I argue that uniquely human forms of ‘Theory of Mind’ are a product of cultural evolution. Specifically, propositional attitude psychology is a linguistically constructed folk model of the human mind, invented by our ancestors for a range of tasks and refined over successive generations of users. The construction of these folk models gave humans new tools for thinking and reasoning about mental states—and so imbued us with abilities not shared by non-linguistic species. I also argue that uniquely human (...) forms of ToM are not required for language development, such that an account of the cultural origins of ToM does not jeopardise the explanation of language development. Finally, I sketch a historical model of the cultural evolution of mental state talk. (shrink)