A neuroscientist and a linguist show how evolution could have given rise to structured language. A machine for language? Certainly, say the neurophysiologists, busy studying the language specializations of the human brain and trying to identify their evolutionary antecedents. Linguists such as Noam Chomsky talk about machinelike "modules" in the brain for syntax, arguing that language is more an instinct (a complex behavior triggered by simple environmental stimuli) than an acquired skill like riding a bicycle. But structured language presents the same evolutionary problems as feathered forelimbs for flight: you need a lot of specializations to fly even a little bit. How do you get them, if evolution has no foresight and the intermediate stages do not have intermediate payoffs? Some say that the Darwinian scheme for gradual species self-improvement cannot explain our most valued human capability, the one that sets us so far above the apes, language itself. William Calvin and Derek Bickerton suggest that other evolutionary developments, not directly related to language, allowed language to evolve in a way that eventually promoted a Chomskian syntax. They compare these intermediate behaviors to the curb-cuts originally intended for wheelchair users. Their usefulness was soon discovered by users of strollers, shopping carts, rollerblades, and so on. The authors argue that reciprocal altruism and ballistic movement planning were "curb-cuts" that indirectly promoted the formation of structured language. Written in the form of a dialogue set in Bellagio, Italy, Lingua ex Machina presents an engaging challenge to those who view the human capacity for language as a winner-take-all war between Chomsky and Darwin.

"A brilliant, witty, and altogether satisfying book." — New York Times Book Review The classic work on the development of human language by the world’s leading expert on language and the mind In The Language Instinct, the world's expert on language and mind lucidly explains everything you always wanted to know about language: how it works, how children learn it, how it changes, how the brain computes it, and how it evolved. With deft use of examples of humor and wordplay, Steven Pinker weaves our vast knowledge of language into a compelling story: language is a human instinct, wired into our brains by evolution. The Language Instinct received the William James Book Prize from the American Psychological Association and the Public Interest Award from the Linguistics Society of America. This edition includes an update on advances in the science of language since The Language Instinct was first published.

George Orwell set out ‘to make political writing into an art’, and to a wide extent this aim shaped the future of English literature – his descriptions of authoritarian regimes helped to form a new vocabulary that is fundamental to understanding totalitarianism. While 1984 and Animal Farm are amongst the most popular classic novels in the English language, this new series of Orwell’s essays seeks to bring a wider selection of his writing on politics and literature to a new readership. In Politics and the English Language, the second in the Orwell’s Essays series, Orwell takes aim at the language used in politics, which, he says, ‘is designed to make lies sound truthful and murder respectable, and to give an appearance of solidity to pure wind’. In an age where the language used in politics is constantly under the microscope, Orwell’s Politics and the English Language is just as relevant today, and gives the reader a vital understanding of the tactics at play. 'A writer who can – and must – be rediscovered with every age.' — Irish Times

The Handbook consists of four major sections. Each section is introduced by a main article: Theories of Emotion – General Aspects Perspectives in Communication Theory, Semiotics, and Linguistics Perspectives on Language and Emotion in Cultural Studies Interdisciplinary and Applied Perspectives The first section presents interdisciplinary emotion theories relevant for the field of language and communication research, including the history of emotion research. The second section focuses on the full range of emotion-related aspects in linguistics, semiotics, and communication theories. The next section focuses on cultural studies and language and emotion; emotions in arts and literature, as well as research on emotion in literary studies; and media and emotion. The final section covers different domains, social practices, and applications, such as society, policy, diplomacy, economics and business communication, religion and emotional language, the domain of affective computing in human-machine interaction, and language and emotion research for language education. Overall, this Handbook represents a comprehensive overview in a rich, diverse compendium never before published in this particular domain.

A proposal that the syntactic structure of a sentence reporting a concrete episode in the world can be interpreted as a description of the sensorimotor processes involved in experiencing that episode. How is the information we gather from the world through our sensory and motor apparatus converted into language? It is obvious that there is an interface between language and sensorimotor cognition because we can talk about what we see and do. In this book, Alistair Knott argues that this interface is more direct than commonly assumed. He proposes that the syntax of a concrete sentence—a sentence that reports a direct sensorimotor experience—closely reflects the sensorimotor processes involved in the experience. In fact, he argues, the syntax of the sentence can be interpreted as a description of these sensorimotor processes. Knott focuses on a simple concrete episode: a man grabbing a cup. He presents detailed models of the sensorimotor processes involved in experiencing this episode (drawing on research in psychology and neuroscience) and of the syntactic structure of the transitive sentence reporting the episode (drawing on Chomskyan Minimalist syntactic theory). He proposes that these two independently motivated models are closely linked—that the logical form of the sentence can be given a detailed sensorimotor characterization and that, more generally, many of the syntactic principles understood in Minimalism as encoding innate linguistic knowledge are actually sensorimotor in origin. Knott's sensorimotor reinterpretation of Chomsky opens the way for a psychological account of sentence processing that is compatible with a Chomskyan account of syntactic universals, suggesting a way to reconcile Chomsky's theory of syntax with the empiricist models of language often viewed as Mimimalism's competitors.

In this forcefully argued book, the leading evolutionary theorist of language draws on evidence from evolutionary biology, genetics, physical anthropology, anatomy, and neuroscience, to provide a framework for studying the evolution of human language and cognition. Philip Lieberman argues forcibly that the widely influential theories of language's development, advanced by Chomskian linguists and cognitive scientists, especially those that postulate a single dedicated language "module," "organ," or "instinct," are inconsistent with principles and findings of evolutionary biology and neuroscience. He argues that the human neural system in its totality is the basis for the human language ability, for it requires the coordination of neural circuits that regulate motor control with memory and higher cognitive functions. Pointing out that articulate speech is a remarkably efficient means of conveying information, Lieberman also highlights the adaptive significance of the human tongue. Fully human language involves the species-specific anatomy of speech, together with the neural capacity for thought and movement. In Lieberman's iconoclastic Darwinian view, the human language ability is the confluence of a succession of separate evolutionary developments, jury-rigged by natural selection to work together for an evolutionarily unique ability.

Current Work and Open Problems: A Road-Map for Research into the Emergence of Communication and Language Chrystopher L. Nehaniv, Caroline Lyon, and Angelo Cangelosi 1.1. Introduction This book brings together work on the emergence of communication and language from researchers working in a broad array of scientific paradigms in North America, Europe, Japan and Africa. We hope that its multi-disciplinary approach will encourage cross-fertilization and promote further advances in this active research field. The volume draws on diverse disciplines, including linguistics, psychology, neuroscience, ethology, anthropology, robotics, and computer science. Computational simulations of the emergence of phenomena associated with communication and language play a key role in illuminating some of the most significant issues, and the renewed scientific interest in language emergence has benefited greatly from research in Artificial Intelligence and Cognitive Science. The book starts with this road map chapter by the editors, pointing to the ways in which disparate disciplines can inform and stimulate each other. It examines the role of simulations as a novel way to express theories in science, and their contribution to the development of a new approach to the study of the emergence of communication and language. We will also discuss and collect the most promising directions and grand challenge problems for future research. The present volume, is organized into three parts: I. Empirical Investi- tions on Human Language, II. Synthesis and Simulation of Communication and Language in Artificial Systems, and III. Insights from Animal Communication.

The emergence of language, social intelligence, and tool development are what made homo sapiens sapiens differentiate itself from all other biological species in the world. The use of language and the management of social and instrumental skills imply an awareness of intention and the consideration that one faces another individual with an attitude analogical to that of one’s own. The metaphor of ‘mirror’ aptly comes to mind.Recent investigations have shown that the human ability to ‘mirror’ other’s actions originates in the brain at a much deeper level than phenomenal awareness. A new class of neurons has been discovered in the premotor area of the monkey brain: ‘mirror neurons’. Quite remarkably, they are tuned to fire to the enaction as well as observation of specific classes of behavior: fine manual actions and actions performed by mouth. They become activated independent of the agent, be it the self or a third person whose action is observed. The activation in mirror neurons is automatic and binds the observation and enaction of some behavior by the self or by the observed other. The peculiar first-to-third-person ‘intersubjectivity’ of the performance of mirror neurons and their surprising complementarity to the functioning of strategic communicative face-to-face (first-to-second person) interaction may shed new light on the functional architecture of conscious vs. unconscious mental processes and the relationship between behavioral and communicative action in monkeys, primates, and humans. The present volume discusses the nature of mirror neurons as presented by the research team of Prof. Giacomo Rizzolatti (University of Parma), who originally discovered them, and the implications to our understanding of the evolution of brain, mind and communicative interaction in non-human primates and man.(Series B)

Almost from the very beginning of the digital age, people have sought better ways to communicate with computers. This research investigates how computers might be enabled to understand natural language in a more humanlike way. Based, in part, on cognitive development in infants, we introduce an open computational framework for visual perception and grounded language acquisition called Experience-Based Language Acquisition (EBLA). EBLA can watch a series of short videos and acquire a simple language of nouns and verbs corresponding to the objects and object-object relations in those videos. Upon acquiring this protolanguage, EBLA can perform basic scene analysis to generate descriptions of novel videos. The general architecture of EBLA is comprised of three stages: vision processing, entity extraction, and lexical resolution. In the vision processing stage, EBLA processes the individual frames in short videos, using a variation of the mean shift analysis image segmentation algorithm to identify and store information about significant objects. In the entity extraction stage, EBLA abstracts information about the significant objects in each video and the relationships among those objects into internal representations called entities. Finally, in the lexical acquisition stage, EBLA extracts the individual lexemes (words) from simple descriptions of each video and attempts to generate entity-lexeme mappings using an inference technique called cross-situational learning. EBLA is not primed with a base lexicon, so it faces the task of bootstrapping its lexicon from scratch.

The “language-communication-society” triangle defies traditional scientific approaches. Rather, it is a phenomenon that calls for an integration of complex, transdisciplinary perspectives, if we are to make any progress in understanding how it works. The highly diverse agents in play are not merely cognitive and/or cultural, but also emotional and behavioural in their specificity. Indeed, the effort may require building a theoretical and methodological body of knowledge that can effectively convey the characteristic properties of phenomena in human terms. New complexity approaches allow us to rethink our limited and mechanistic images of human societies and create more appropriate emo-cognitive dynamic and holistic models. We have to enter into dialogue with the complexity views coming out of other more ‘material’ sciences, but we also need to take steps in the linguistic and psycho-sociological fields towards creating perspectives and concepts better fitted to human characteristics. Our understanding of complexity is different – but not opposed – to the one that is more commonly found in texts written by people working in physics or computer science, for example. The goal of this book is to extend the knowledge of these other more ‘human’ or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society. Our understanding of complexity is different – but not opposed – to the one that is more commonly found in texts written by people working in physics or computer science, for example. The goal of this book is to extend the knowledge of these other more ‘human’ or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society.