Language, Cognition, and Mind – serie

This volume is the first to focus specifically on experimental studies of the semantics of gradability, scale structure and vagueness. It presents support for and challenges to current formal analyses of these phenomena in view of experimentally collected data, highlighting the ways semantic and pragmatic theory can benefit from experimental methodologies. The papers in the volume contribute to an explicit and detailed account of the use, representation, and online processing of gradable and vague expressions using various kinds of controlled speaker judgment tasks, eye tracking, and ERP. The aim is to strengthen the foundations of experimental semantics and promote interaction between linguists, psycholinguists, psychologists, and philosophers who are interested in the semantics of natural language. Using data representing different languages and a variety of nominal and adjectival constructions, including degree modification and comparatives, the contributions address scale-based classifications of gradable predicates, such as the absolute vs. relative distinction; the nature of the standards for applicability of gradable expressions and the ways in which standards are determined; the nature of dimensions and multidimensionality in the meaning of scalar expressions; and the role of embodiment, subjectivity, and sociolinguistic considerations in the use and understanding of gradable expressions.

This volume presents new conceptual and experimental studies which investigate the connection between vagueness and rationality from various systematic directions, such as philosophy, linguistics, cognitive psychology, computing science, and economics. Vagueness in language use and cognition has traditionally been interpreted in epistemic or semantic terms. The standard view of vagueness specifically suggests that considerations of agency or rationality, broadly conceived, can be left out of the equation. Most recently, new literature on vagueness has been released which suggests that the standard view is inadequate and that considerations of rationality should factor into more comprehensive models of vagueness. The methodological approaches presented here are diverse, ranging from philosophical interpretations of rational credence for vagueness to adaptations of choice theory (dynamic choice theory, revealed preference models, social choice theory), probabilistic models of pragmatic reasoning (Bayesian pragmatics), evolutionary game theory, and conceptual space models of categorisation.

This volume presents new conceptual and experimental studies which investigate the connection between vagueness and rationality from various systematic directions, such as philosophy, linguistics, cognitive psychology, computing science, and economics. Vagueness in language use and cognition has traditionally been interpreted in epistemic or semantic terms. The standard view of vagueness specifically suggests that considerations of agency or rationality, broadly conceived, can be left out of the equation. Most recently, new literature on vagueness has been released which suggests that the standard view is inadequate and that considerations of rationality should factor into more comprehensive models of vagueness. The methodological approaches presented here are diverse, ranging from philosophical interpretations of rational credence for vagueness to adaptations of choice theory (dynamic choice theory, revealed preference models, social choice theory), probabilistic models of pragmatic reasoning (Bayesian pragmatics), evolutionary game theory, and conceptual space models of categorisation.

This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science.The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth)

This open access book presents novel theoretical, empirical and experimental work exploring the nature of mental representations that support natural language production and understanding, and other manifestations of cognition. One fundamental question raised in the text is whether requisite knowledge structures can be adequately modeled by means of a uniform representational format, and if so, what exactly is its nature.Frames are a key topic covered which have had a strong impact on the exploration of knowledge representations in artificial intelligence, psychology and linguistics; cascades are a novel development in frame theory.  Other key subject areas explored are: concepts and categorization, the experimental investigation of mental representation, as well as cognitive analysis in semantics.  This book is of interest to students, researchers, and professionals working on cognition in the fields of linguistics, philosophy, and psychology.

This book presents a comprehensive picture of reflexive pronouns from both a theoretical and experimental perspective, using the well-researched languages of English, German, Dutch, Chinese, Japanese and Korean. In order to understand the data from varying theoretical perspectives, the book considers selected syntactic and pragmatic analyses based on their current importance in the field. The volume consequently introduces the Emergentist Reflexivity Approach, which is a novel theoretical synthesis incorporating a sentence and pragmatic processor that accounts for reflexive pronoun behaviour in these six languages. Moreover, in support of this model a vast array of experimental literature is considered, including first and second language acquisition, bilingual, psycholinguistic, neurolinguistic and clinical studies. It is through both the intuitive and experimental data linguistic theorizing relies upon that brings out the strengths of the modelling adopted here, paving new avenues for future research. In sum, this volume unites a diverse array of the literature that currently sits largely divorced between the theoretical and experimental realms, and when put together a better understanding of reflexive pronouns under the auspices of the Emergentist Reflexivity Approach is forged.

This book presents a comprehensive picture of reflexive pronouns from both a theoretical and experimental perspective, using the well-researched languages of English, German, Dutch, Chinese, Japanese and Korean. In order to understand the data from varying theoretical perspectives, the book considers selected syntactic and pragmatic analyses based on their current importance in the field. The volume consequently introduces the Emergentist Reflexivity Approach, which is a novel theoretical synthesis incorporating a sentence and pragmatic processor that accounts for reflexive pronoun behaviour in these six languages. Moreover, in support of this model a vast array of experimental literature is considered, including first and second language acquisition, bilingual, psycholinguistic, neurolinguistic and clinical studies. It is through both the intuitive and experimental data linguistic theorizing relies upon that brings out the strengths of the modelling adopted here, paving new avenues for future research. In sum, this volume unites a diverse array of the literature that currently sits largely divorced between the theoretical and experimental realms, and when put together a better understanding of reflexive pronouns under the auspices of the Emergentist Reflexivity Approach is forged.

This edited book offers a broad selection of interdisciplinary studies within cognitive science. The book illustrates and documents how cognitive science offers a unifying framework for the interaction of fields of study focusing on the human mind from linguistics and philosophy to psychology and the history of science. A selection of renowned contributors provides authoritative historical, theoretical and empirical perspectives on more than six decades of research with a special focus on the progress of cognitive science in Central Europe. Readers encounter a bird’s eye view of geographical and linguistic diversity brought about by the cognitive revolution, as it is reflected in the writings of leading authors, many of whom are former students and collaborators of Csaba Pléh, a key figure of the cognitive turn in Central Europe, to whom this book is dedicated. The book appeals to students and researchers looking for the ways various approaches to the mind and the brain intersect.

This edited book offers a broad selection of interdisciplinary studies within cognitive science. The book illustrates and documents how cognitive science offers a unifying framework for the interaction of fields of study focusing on the human mind from linguistics and philosophy to psychology and the history of science. A selection of renowned contributors provides authoritative historical, theoretical and empirical perspectives on more than six decades of research with a special focus on the progress of cognitive science in Central Europe. Readers encounter a bird’s eye view of geographical and linguistic diversity brought about by the cognitive revolution, as it is reflected in the writings of leading authors, many of whom are former students and collaborators of Csaba Pléh, a key figure of the cognitive turn in Central Europe, to whom this book is dedicated. The book appeals to students and researchers looking for the ways various approaches to the mind and the brain intersect.

This open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of concepts from a wide range of fields including cognitive science, linguistics, philosophy, psychology, artificial intelligence, and computer science. The chapters focus on three distinct points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.

This open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of concepts from a wide range of fields including cognitive science, linguistics, philosophy, psychology, artificial intelligence, and computer science. The chapters focus on three distinct points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.

This present book explores recent advances in modeling discourse processes, in particular, new approaches aimed at understanding pathological language behavior specific to schizophrenia. The contributors examine the modeling paradigm of formal semantics, which falls within the scope of both linguistics and logic while providing overlapping links with other fields such as philosophy of language and cognitive psychology. This book is based on results presented during the series of workshops on (In)Coherence and Discourse organized by SLAM (Schizophrenia and Language: Analysis and Modeling), a project developed to systemize the study of pathological language processing by taking an overarching interdisciplinary approach combining psychology, linguistics, computer science and philosophy. The principle focus is on conversations produced by people with psychiatric disorders such as schizophrenia and autism. The contributions come from young and experienced researchers, and invited speakers.  The book appeals to likeminded students and researchers.

This present book explores recent advances in modeling discourse processes, in particular, new approaches aimed at understanding pathological language behavior specific to schizophrenia. The contributors examine the modeling paradigm of formal semantics, which falls within the scope of both linguistics and logic while providing overlapping links with other fields such as philosophy of language and cognitive psychology. This book is based on results presented during the series of workshops on (In)Coherence and Discourse organized by SLAM (Schizophrenia and Language: Analysis and Modeling), a project developed to systemize the study of pathological language processing by taking an overarching interdisciplinary approach combining psychology, linguistics, computer science and philosophy. The principle focus is on conversations produced by people with psychiatric disorders such as schizophrenia and autism. The contributions come from young and experienced researchers, and invited speakers.  The book appeals to likeminded students and researchers.

The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction.

This volume offers insights on experimental and empirical research in theoretical linguistic issues of negation and polarity, focusing on how negation is marked and how negative polarity is emphatic and how it interacts with double negation. Metalinguistic negation and neg-raising are also explored in the volume. Leading specialists in the field present novel ideas by employing various experimental methods in felicity judgments, eye tracking, self-paced readings, prosody and ERP. Particular attention is given to extensive crosslinguistc data from French, Catalan and Korean along with analyses using semantic and pragmatic methods, corpus linguistics, diachronic perspectives and longitudinal acquisitional studies as well as signed and gestural negation. Each contribution is situated with regards to major previous studies, thereby offering readers insights on the current state of the art in research on negation and negative polarity, highlighting how theory and data together contributes to the understanding of cognition and mind.

This volume offers insights on experimental and empirical research in theoretical linguistic issues of negation and polarity, focusing on how negation is marked and how negative polarity is emphatic and how it interacts with double negation. Metalinguistic negation and neg-raising are also explored in the volume. Leading specialists in the field present novel ideas by employing various experimental methods in felicity judgments, eye tracking, self-paced readings, prosody and ERP. Particular attention is given to extensive crosslinguistc data from French, Catalan and Korean along with analyses using semantic and pragmatic methods, corpus linguistics, diachronic perspectives and longitudinal acquisitional studies as well as signed and gestural negation. Each contribution is situated with regards to major previous studies, thereby offering readers insights on the current state of the art in research on negation and negative polarity, highlighting how theory and data together contributes to the understanding of cognition and mind.

The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction.

By highlighting relations between experimental and theoretical work, this volume explores new ways of addressing one of the central challenges in the study of language and cognition. The articles bring together work by leading scholars and younger researchers in psychology, linguistics and philosophy. An introductory chapter lays out the background on concept composition, a problem that is stimulating much new research in cognitive science. Researchers in this interdisciplinary domain aim to explain how meanings of complex expressions are derived from simple lexical concepts and to show how these meanings connect to concept representations. Traditionally, much of the work on concept composition has been carried out within separate disciplines, where cognitive psychologists have concentrated on concept representations, and linguists and philosophers have focused on the meaning and use of logical operators. This volume demonstrates an important change in this situation, where convergence points between these three disciplines in cognitive science are emerging and are leading to new findings and theoretical insights.  This book is open access under a CC BY license.