Download or read book Action Programming Languages written by Michael Thielscher and published by Morgan & Claypool Publishers. This book was released on 2008 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming paradigm include autonomous software agents, mobile robots with high-level reasoning capabilities, and General Game Playing. These lecture notes give an in-depth introduction to the current state-of-the-art in action programming. The main topics are knowledge representation for actions, procedural action programming, planning, agent logic programs, and reactive, behavior-based agents. The only prerequisite for understanding the material in these lecture notes is some general programming experience and basic knowledge of classical first-order logic.

Download or read book In the Land of Invented Languages written by Arika Okrent and published by Random House. This book was released on 2009-05-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is the captivating story of humankind’s enduring quest to build a better language—and overcome the curse of Babel. Just about everyone has heard of Esperanto, which was nothing less than one man’s attempt to bring about world peace by means of linguistic solidarity. And every Star Trek fan knows about Klingon. But few people have heard of Babm, Blissymbolics, Loglan (not to be confused with Lojban), and the nearly nine hundred other invented languages that represent the hard work, high hopes, and full-blown delusions of so many misguided souls over the centuries. With intelligence and humor, Arika Okrent has written a truly original and enlightening book for all word freaks, grammar geeks, and plain old language lovers.

Download or read book The Esperanto Movement written by Peter G. Forster and published by Walter de Gruyter. This book was released on 2013-02-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONTRIBUTIONS TO THE SOCIOLOGY OF LANGUAGE brings to students, researchers and practitioners in all of the social and language-related sciences carefully selected book-length publications dealing with sociolinguistic theory, methods, findings and applications. It approaches the study of language in society in its broadest sense, as a truly international and interdisciplinary field in which various approaches, theoretical and empirical, supplement and complement each other. The series invites the attention of linguists, language teachers of all interests, sociologists, political scientists, anthropologists, historians etc. to the development of the sociology of language.

Download or read book Language Mind and Nature written by Rhodri Lewis and published by Cambridge University Press. This book was released on 2007-06-07 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language, Mind and Nature is a 2007 text which fully reconstructs this artificial language movement. In so doing, it reveals a great deal about the beliefs and activities of those who sought to reform learning in seventeenth-century England.

Download or read book Practical Natural Language Processing written by Sowmya Vajjala and published by O'Reilly Media. This book was released on 2020-06-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Download or read book The Artificial Language Movement written by Andrew Large and published by Wiley-Blackwell. This book was released on 1987 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Implicit and Explicit Learning of Languages written by Patrick Rebuschat and published by John Benjamins Publishing Company. This book was released on 2015-09-15 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implicit learning is a fundamental feature of human cognition. Many essential skills, including language comprehension and production, intuitive decision making, and social interaction, are largely dependent on implicit (unconscious) knowledge. Given its relevance, it is not surprising that the study of implicit learning plays a central role in the cognitive sciences. The present volume brings together eminent researchers from a variety of fields (e.g., cognitive psychology, linguistics, education, cognitive neuroscience, developmental psychology) in order to assess the progress made in the study of implicit and explicit learning, to critically evaluate key concepts and methodologies, and to determine future directions to take in this interdisciplinary enterprise. The eighteen chapters in this volume are written in an accessible and engaging fashion; together, they provide the reader with a comprehensive snapshot of the exciting current work on the implicit and explicit learning of languages.

Download or read book Artificial Intelligence in Second Language Learning written by Marina Dodigovic and published by Multilingual Matters. This book was released on 2005-10-07 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume argues that adults can learn English as a second language if their typical errors are corrected systematically and in line with their preferred style of learning. The remedy designed for this purpose relies on artificial intelligence. The book describes original research which demonstrates the success of this approach.

Download or read book Frequency Effects in Language Learning and Processing written by Stefan Th. Gries and published by Walter de Gruyter. This book was released on 2012-08-31 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume contains a collection of studies on how the analysis of corpus and psycholinguistic data reveal how linguistic knowledge is affected by the frequency of linguistic elements/stimuli. The studies explore a wide range of phenomena , from phonological reduction processes and palatalization to morphological productivity, diachronic change, adjective preposition constructions, auxiliary omission, and multi-word units. The languages studied are Spanish and artificial languages, Russian, Dutch, and English. The sister volume focuses on language representation.

Download or read book Language Invention in Linguistics Pedagogy written by Jeffrey Punske and published by Oxford University Press. This book was released on 2020-08-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to explore the varied ways in which invented languages can be used to teach languages and linguistics in university courses. There has long been interest in invented languages, also known as constructed languages or conlangs, both in the political arena (as with Esperanto) and in the world of literature and science fiction and fantasy media - Tolkien's Quenya and Sindarin, Dothraki in Game of Thrones, and Klingon in the Star Trek franchise, among many others. Linguists have recently served as language creators or consultants for film and television, with notable examples including Jessica Coons work on the film Arrival Christine Schreyers Kryptonian for Man of Steel, David Adgers contributions to the series Beowulf, and David J. Peterson's numerous languages for Game of Thrones and other franchises. The chapters in this volume show how the use of invented languages as a teaching tool can reach a student population who might not otherwise be interested in studying linguistics, as well as helping those students to develop the fundamental core skills of linguistic analysis. Invented languages encourage problem-based and active learning; they shed light on the nature of linguistic diversity and implicational universals; and they provide insights into the complex interplay of linguistic patterns and social, environmental, and historical processes. The volume brings together renowned scholars and junior researchers who have used language invention and constructed languages to achieve a range of pedagogical objectives. It will be of interest to graduate students and teachers of linguistics and those in related areas such as anthropology and psychology.

Download or read book The Natural Language for Artificial Intelligence written by Dioneia Motta Monte-Serrat and published by Elsevier. This book was released on 2021-04-06 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Natural Language for Artificial Intelligence presents natural language as the next frontier because it identifies something that is most sought after by scholars: The universal structure of language that gives rise to the respective universal algorithm. In short, this book presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind that, at the same time, interprets the context of reality. It is a non-static approach to natural language, which is defined as a complex system whose parts interact with the ability to generate a new quality of behavior and whose dynamic elements are mapped in order to be understood and executed by intelligent systems, guiding the paradigms of cognitive computing. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language, leading to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed, to indicate ways to improve the development of AI in specific fields of science. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.

Download or read book Prediction in Second Language Processing and Learning written by Edith Kaan and published by John Benjamins Publishing Company. This book was released on 2021-09-15 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is ample evidence that language users, including second-language (L2) users, can predict upcoming information during listening and reading. Yet it is still unclear when, how, and why language users engage in prediction, and what the relation is between prediction and learning. This volume presents a collection of current research, insights, and directions regarding the role of prediction in L2 processing and learning. The contributions in this volume specifically address how different (L1-based) theoretical models of prediction apply to or may be expanded to account for L2 processing, report new insights on factors (linguistic, cognitive, social) that modulate L2 users’ engagement in prediction, and discuss the functions that prediction may or may not serve in L2 processing and learning. Taken together, this volume illustrates various fruitful approaches to investigating and accounting for differences in predictive processing within and across individuals, as well as across populations.

Download or read book Impossible Languages written by Andrea Moro and published by MIT Press. This book was released on 2016-09-02 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investigation into the possibility of impossible languages, searching for the indelible “fingerprint” of human language. Can there be such a thing as an impossible human language? A biologist could describe an impossible animal as one that goes against the physical laws of nature (entropy, for example, or gravity). Are there any such laws that constrain languages? In this book, Andrea Moro—a distinguished linguist and neuroscientist—investigates the possibility of impossible languages, searching, as he does so, for the indelible “fingerprint” of human language. Moro shows how the very notion of impossible languages has helped shape research on the ultimate aim of linguistics: to define the class of possible human languages. He takes us beyond the boundaries of Babel, to the set of properties that, despite appearances, all languages share, and explores the sources of that order, drawing on scientific experiments he himself helped design. Moro compares syntax to the reverse side of a tapestry revealing a hidden and apparently intricate structure. He describes the brain as a sieve, considers the reality of (linguistic) trees, and listens for the sound of thought by recording electrical activity in the brain. Words and sentences, he tells us, are like symphonies and constellations: they have no content of their own; they exist because we listen to them and look at them. We are part of the data.

Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Download or read book Language in Our Brain written by Angela D. Friederici and published by MIT Press. This book was released on 2017-11-16 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive account of the neurobiological basis of language, arguing that species-specific brain differences may be at the root of the human capacity for language. Language makes us human. It is an intrinsic part of us, although we seldom think about it. Language is also an extremely complex entity with subcomponents responsible for its phonological, syntactic, and semantic aspects. In this landmark work, Angela Friederici offers a comprehensive account of these subcomponents and how they are integrated. Tracing the neurobiological basis of language across brain regions in humans and other primate species, she argues that species-specific brain differences may be at the root of the human capacity for language. Friederici shows which brain regions support the different language processes and, more important, how these brain regions are connected structurally and functionally to make language processes that take place in milliseconds possible. She finds that one particular brain structure (a white matter dorsal tract), connecting syntax-relevant brain regions, is present only in the mature human brain and only weakly present in other primate brains. Is this the “missing link” that explains humans' capacity for language? Friederici describes the basic language functions and their brain basis; the language networks connecting different language-related brain regions; the brain basis of language acquisition during early childhood and when learning a second language, proposing a neurocognitive model of the ontogeny of language; and the evolution of language and underlying neural constraints. She finds that it is the information exchange between the relevant brain regions, supported by the white matter tract, that is the crucial factor in both language development and evolution.

Download or read book Theoretical and Computational Models of Word Learning Trends in Psychology and Artificial Intelligence written by Gogate, Lakshmi and published by IGI Global. This book was released on 2013-02-28 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.

Download or read book Encyclopedia of the Sciences of Learning written by Norbert M. Seel and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 3643 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.