This volume on the semantic complexity of natural language explores the question why some sentences are more difficult than others. While doing so, it lays the groundwork for extending semantic theory with computational and cognitive aspects by combining linguistics and logic with computations and cognition. Quantifier expressions occur whenever we describe the world and communicate about it. Generalized quantifier theory is therefore one of the basic tools of linguistics today, studying the possible meanings and the inferential power of quantifier expressions by logical means. The classic version was developed in the 1980s, at the interface of linguistics, mathematics and philosophy. Before this volume, advances in "classic" generalized quantifier theory mainly focused on logical questions and their applications to linguistics, this volume adds a computational component, the third pillar of language use and logical activity. This book is essential reading for researchers in linguistics, philosophy, cognitive science, logic, AI, and computer science.

This volume on the semantic complexity of natural language explores the question why some sentences are more difficult than others. While doing so, it lays the groundwork for extending semantic theory with computational and cognitive aspects by combining linguistics and logic with computations and cognition. Quantifier expressions occur whenever we describe the world and communicate about it. Generalized quantifier theory is therefore one of the basic tools of linguistics today, studying the possible meanings and the inferential power of quantifier expressions by logical means. The classic version was developed in the 1980s, at the interface of linguistics, mathematics and philosophy. Before this volume, advances in "classic" generalized quantifier theory mainly focused on logical questions and their applications to linguistics, this volume adds a computational component, the third pillar of language use and logical activity. This book is essential reading for researchers in linguistics, philosophy, cognitive science, logic, AI, and computer science.

An argument that the meaning of written or auditory linguistic signals is not derived from the input but results from the brain's internal construction process. When we read a text or listen to speech, meaning seems to be given to us instantaneously, as if it were part of the input. In Meaning in the Brain, Giosuè Baggio explains that this is an illusion created by the tremendous speed at which sensory systems and systems for meaning and grammar operate in the brain. Meaning, Baggio argues, is not derived from input but results from the brain's internal construction process. With this book, Baggio offers the first integrated, multilevel theory of semantics in the brain, describing how meaning is generated during language comprehension, production, and acquisition. Baggio's theory draws on recent advances in formal semantics and pragmatics, including vector-space semantics, discourse representation theory, and signaling game theory. It is designed to explain a growing body of experimental results on semantic processing that have accumulated in the absence of a unifying theory since the introduction of electrophysiology and neuroimaging methods. Baggio argues that there is evidence for the existence of three semantic systems in the brain—relational semantics, interpretive semantics, and evolutionary semantics—and he discusses each in turn, developing neural theories of meaning for all three. Moreover, in the course of his argument, Baggio addresses several long-standing issues in the neuroscience of language, including the role of compositionality as a principle of meaning construction in the brain, the role of sensory-motor processes in language comprehension, and the neural and evolutionary links among meaning, consciousness, sociality, and action.

In this volume, international experts in negation provide a comprehensive overview of cross-linguistic and philosophical research in the field, as well as accounts of more recent results from experimental linguistics, psycholinguistics, and neuroscience. The volume adopts an interdisciplinary approach to a range of fundamental questions ranging from why negation displays so many distinct linguistic forms to how prosody and gesture participate in the interpretation of negative utterances. Following an introduction from the editors, the chapters are arranged in eight parts that explore, respectively, the fundamentals of negation; issues in syntax; the syntax-semantics interface; semantics and pragmatics; negative dependencies; synchronic and diachronic variation; the emergence and acquisition of negation; and experimental investigations of negation. The volume will be an essential reference for students and researchers across a wide range of disciplines, and will facilitate further interdisciplinary work in the field.

This book constitutes the refereed proceedings of the 12th Conference on Computability in Europe, CiE 2016, held in Paris, France, in June/July 2016. The 18 revised full papers and 19 invited papers and invited extended abstracts were carefully reviewed and selected from 40 submissions. The conference CiE 2016 has six special sessions – two sessions, cryptography and information theory and symbolic dynamics, are organized for the first time in the conference series. In addition to this new developments in areas frequently covered in the CiE conference series were addressed in the following sessions: computable and constructive analysis; computation in biological systems; history and philosophy of computing; weak arithmetic.

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings.

This book draws together a number of important strands in contemporary approaches to the philosophical and scientific questions that emerge when dealing with the issues of computing, information, cognition and the conceptual issues that arise at their intersections. It discovers and develops the connections at the borders and in the interstices of disciplines and debates, and presents a range of essays that deal with the currently vigorous concerns of the philosophy of information, ontology creation and control, bioinformation and biosemiotics, computational and post- computational ap- proaches to the philosophy of cognitive science, computational linguistics, ethics, and education.