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Narratives of Motherhood and Mothering in Fiction and Life Writing (Palgrave Macmillan Studies in Family and Intimate Life)
by Anna Williams Helena Wahlström Henriksson Margaretha FahlgrenThis open access volume offers original essays on how motherhood and mothering are represented in contemporary fiction and life writing across several national contexts. Providing a broad range of perspectives in terms of geopolitical places, thematic concerns, and theoretical and interdisciplinary approaches, it demonstrates the significance of literary narratives for understanding and critiquing motherhood and mothering as social phenomena and subjective experiences. The chapters contextualize motherhood and mothering in terms of their particular national and cultural location and analyze narratives about mothers who are firmly placed in one national context, as well as those who are in “in-between” positions due to migrant experiences. The contributions foreground and link together the themes central to the volume: embodied experience and maternal embodiment; notions of what is “normal” or natural (or not) about motherhood; maternal health and illness; mother-daughter relations; maternality and memory; and the (im)possibilities of giving voice to the mother. They raise questions about how motherhood and mothering are marked by absence and/or presence, as well as by profound ambivalences.
Nation Building: Why Some Countries Come Together While Others Fall Apart (Princeton Studies in Global and Comparative Sociology)
by Andreas WimmerA new and comprehensive look at the reasons behind successful or failed nation buildingNation Building presents bold new answers to an age-old question. Why is national integration achieved in some diverse countries, while others are destabilized by political inequality between ethnic groups, contentious politics, or even separatism and ethnic war? Traversing centuries and continents from early nineteenth-century Europe and Asia to Africa from the turn of the twenty-first century to today, Andreas Wimmer delves into the slow-moving forces that encourage political alliances to stretch across ethnic divides and build national unity.Using datasets that cover the entire world and three pairs of case studies, Wimmer’s theory of nation building focuses on slow-moving, generational processes: the spread of civil society organizations, linguistic assimilation, and the states’ capacity to provide public goods. Wimmer contrasts Switzerland and Belgium to demonstrate how the early development of voluntary organizations enhanced nation building; he examines Botswana and Somalia to illustrate how providing public goods can bring diverse political constituencies together; and he shows that the differences between China and Russia indicate how a shared linguistic space may help build political alliances across ethnic boundaries.Wimmer then reveals, based on the statistical analysis of large-scale datasets, that these mechanisms are at work around the world and explain nation building better than competing arguments such as democratic governance or colonial legacies. He also shows that when political alliances crosscut ethnic divides and when most ethnic communities are represented at the highest levels of government, the general populace will identify with the nation and its symbols, further deepening national political integration.Offering a long-term historical perspective and global outlook, Nation Building sheds important new light on the challenges of political integration in diverse countries.
National 5 Lifeskills Maths: Practice Papers for SQA Exams
by Bob BarclayPractise for your SQA exams with three specially-commissioned Hodder Gibson Practice Exam Papers with fully-worked answers.- Practise with model papers written and checked by experienced markers and examiners- Worked answers show how answers are arrived at and where marks are gained- Get extra advice with study-skills guidance sections- Gain vital extra marks and avoid common mistakes with examiner tips- A revision grid allows revision by topic
National 5 Maths with Answers, Second Edition
by David AlcornExam Board: SQALevel: National 5Subject: MathematicsFirst Teaching: September 2017First Exam: Summer 2018National 5 Maths Second Edition offers updated, rearranged and complete coverage of the SQA syllabus for the examination of the same name from 2017/18 onwards. - Provides thorough preparation for the exam, as revised for the updated syllabus.- Covers all the topics necessary for the revised examination.- Offers a suggested approach through all five sections (Number, Algebra, Geometry, Trigonometry and Statistics), flexibly structured so that teachers and students are also free to select alternative routes to suit individual needs.- Organised content makes it easy to plan, manage and monitor progress.- Each chapter consists of:>Worked Examples with explanatory notes showing how skills are applied >Practice Exercises that are graded to build confidence >Key Points that summarise key points and skills>Review Exercise that provides the opportunity to consolidate topics introduced in the chapter- Includes Revision Exercises, for non-calculator and calculator papers, provide opportunities to consolidate skills acquired during the course.- Exam Practice provides further questions in preparation for the extended examination(s) of the revised syllabus.
National 5 Maths: Practice Papers for SQA Exams
by Mike SmithPractise for your SQA exams with three specially-commissioned Hodder Gibson Practice Exam Papers.- Practise with model papers written and checked by experienced markers and examiners- Get extra advice with specially-written study-skills guidance sections- Gain vital extra marks and avoid common mistakes with examiner tips
National Reflections on the Netherlands Didactics of Mathematics: Teaching and Learning in the Context of Realistic Mathematics Education (ICME-13 Monographs)
by Marja Van den Heuvel-PanhuizenThis open access book, inspired by the ICME 13 Thematic Afternoon on “European Didactic Traditions”, consists of 17 chapters, in which educators from the Netherlands reflect on the teaching and learning of mathematics in their country and the role of the Dutch domain-specific instruction theory of Realistic Mathematics Education.Written by mathematics teachers, mathematics teacher educators, school advisors, and developers and researchers in the field of instructional material, textbooks, and examinations, the book offers a multitude of perspectives on important issues in Dutch mathematics education, both at primary and secondary school levels. Topics addressed include the theoretical underpinnings of the Dutch approach, the subject of mathematics in the Dutch educational system, teacher education and testing, the history of mathematics education and the use of history in teaching of mathematics, changes over time in subject matter domains and in the use of technology, and the process of innovation and how the Dutch and in particular one Dutch institute have worked on the reform.
National Subcommissions of ICMI and their Role in the Reform of Mathematics Education (International Studies in the History of Mathematics and its Teaching)
by Alexander KarpICMI (or IMUK) was founded in 1908 and initiated the establishment of national subcommissions to launch national activities in response to the IMUK agenda and to promote the reform proposals within each member country.While ICMI’s activities were thoroughly studied, the activities of the national subcommissions are studied only very marginally. In the meantime, their work has been of major importance – both because of their role in exploring and documenting the development of mathematics education at the beginning of the 20th century, and because of the changes and new ideas which they brought to their countries. Importantly, even if some results of their activities were analyzed within their countries in the corresponding languages, almost nothing is known internationally. This book is planned to deepen our knowledge on at least some of the national subcommissions. The book will interest both researchers and others interested in mathematics education and its development.
Native American Mathematics
by Michael P. ClossThere is no question that native cultures in the New World exhibit many forms of mathematical development. This Native American mathematics can best be described by considering the nature of the concepts found in a variety of individual New World cultures. Unlike modern mathematics in which numbers and concepts are expressed in a universal mathematical notation, the numbers and concepts found in native cultures occur and are expressed in many distinctive ways. Native American Mathematics, edited by Michael P. Closs, is the first book to focus on mathematical development indigenous to the New World.<P><P>Spanning time from the prehistoric to the present, the thirteen essays in this volume attest to the variety of mathematical development present in the Americas. The data are drawn from cultures as diverse as the Ojibway, the Inuit (Eskimo), and the Nootka in the north; the Chumash of Southern California; the Aztec and the Maya in Mesoamerica; and the Inca and Jibaro of South America. Among the strengths of this collection are this diversity and the multidisciplinary approaches employed to extract different kinds of information. The distinguished contributors include mathematicians, linguists, psychologists, anthropologists, and archaeologists.
Natur und Zahl: Die Mathematisierbarkeit der Welt
by Bernulf KanitscheiderDie Mathematik hat sich seit dem Entstehen der modernen Naturwissenschaft im 16. Jh. als das entscheidende Erkenntnisinstrument erwiesen, so dass die Mathematisierung der Theorien eines Faches als Kriterium seiner Reife betrachtet wurde. Dennoch ist der Grund für diesen unerwarteten Anwendungserfolg immer dunkel geblieben. Warum lässt sich die materielle Natur mit dem geistigen Werkzeug der Zahlen und geometrischen Formen so perfekt erfassen? Diese Frage ist eng verknüpft mit dem ontologischen Status abstrakter Objekte: Wo sind sie beheimatet, in den Dingen als Strukturen, im Hintergrund als Ideen, oder sind sie nur Fiktionen? Die Hypothese dieses Buches folgt einer Idee von P.A.M. Dirac, der vermutete, dass die Natur eine innere mathematische Qualität besitzt.
Natural Computing for Simulation-Based Optimization and Beyond (SpringerBriefs in Operations Research)
by Silja Meyer-Nieberg Nadiia Leopold Tobias UhligThis SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection with simulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.
Natural Deduction, Hybrid Systems and Modal Logics
by Andrzej IndrzejczakThis book provides a detailed exposition of one of the most practical and popular methods of proving theorems in logic, called Natural Deduction. It is presented both historically and systematically. Also some combinations with other known proof methods are explored. The initial part of the book deals with Classical Logic, whereas the rest is concerned with systems for several forms of Modal Logics, one of the most important branches of modern logic, which has wide applicability.
Natural Element Method for the Simulation of Structures and Processes (Wiley-iste Ser.)
by Philippe Lorong Francisco Chinesta Elias Cueto Serge CescottoComputational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics. Before the emergence of computational science (also called scientific computing) as a "third way" besides theoretical and experimental sciences, computational mechanics was widely considered to be a sub-discipline of applied mechanics. It is now considered to be a sub-discipline within computational science. This book presents a recent state of the art on the foundations and applications of the meshless natural element method in computational mechanics, including structural mechanics and material forming processes involving solids and Newtonian and non-Newtonian fluids.
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-Source LLMs (SpringerBriefs in Computer Science)
by Paulo Novais Dalila Durães Francisco S. Marcondes Adelino Gala Renata Magalhães Fernando Perez de BrittoThis book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights. The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure. Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data—qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows.
Natural Language Generation
by Ehud ReiterIn late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich history and foundational work in NLG. This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications. Drawing on decades of NLG research, the book is designed to be a valuable resource for both researchers and developers, offering insights that remain relevant far beyond the current technological landscape. Natural Language Generation focuses on data-to-text but also looks at other types of NLG including text summarization. The book takes a holistic approach to NLG, looking at requirements (what users are looking for), design, data issues, testing, evaluation, safety and ethical issues as well as technology. The holistic approach is unique to this book and is very valuable for people building real-world NLG systems, and for academics and researchers who are interested in applied NLG. The author, who previously co-authored a seminal NLG book in 2000, emphasizes high-level concepts and methodologies, ensuring the material's longevity and utility. The book is structured to balance technical depth with practical relevance, including chapters on rule-based and neural NLG approaches, user requirements, rigorous evaluation techniques, and safety considerations. Real-world applications, particularly in journalism, business intelligence, summarization, and medicine, are explored to illustrate NLG's potential and scalability. With personal anecdotes and examples from the author's experiences, this book provides a unique and engaging perspective on the evolving field of NLG, making it an indispensable guide for those looking to harness the power of language generation technologies.
Natural Language Processing and Applications
by Huaping Zhang Jianyun ShangThis book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis. The inaugural chapter provides an overview of NLP, and the subsequent chapters delve into the foundations of artificial intelligence, covering traditional deep learning algorithms and platforms. The book then evolves to showcase the latest advancements in deep learning, addressing bottlenecks and unfolding developments from data-oriented, training-oriented, and application-oriented perspectives. Part II of the book navigates the practical applications of intelligent language processing. From web crawlers and multi-format document parsing to speech text recognition, readers gain insights into real-world scenarios. Each chapter provides examples and analyses, empowering readers to bridge theoretical knowledge with hands-on application, unlocking the transformative potential of AI through intelligent language processing. This book serves as a comprehensive resource for researchers, graduate students, and undergraduates in the field of natural language processing. Additionally, it offers valuable insights as a reference for engineers, technicians, and enthusiasts interested in the realm of big data intelligence. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11838)
by Dongyan Zhao Sujian Li Hongying Zan Jie Tang Min-Yen KanThis two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.
Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part II (Lecture Notes in Computer Science #11839)
by Dongyan Zhao Sujian Li Hongying Zan Jie Tang Min-Yen KanThis two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2019, held in Dunhuang, China, in October 2019. The 85 full papers and 56 short papers presented were carefully reviewed and selected from 492 submissions. They are organized in the following topical sections: Conversational Bot/QA/IR; Knowledge graph/IE; Machine Learning for NLP; Machine Translation; NLP Applications; NLP for Social Network; NLP Fundamentals; Text Mining; Short Papers; Explainable AI Workshop; Student Workshop: Evaluation Workshop.
Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face
by Hicham AssoudiThis book demonstrates how to use Oracle Cloud Infrastructure (OCI) and Hugging Face technologies to develop advanced NLP solutions. Through a practical case study, it addresses common NLP challenges and offers strategies for creating efficient, cost-effective transformer-based models. By the end of this book, you will have the skills and knowledge to create cutting-edge NLP solutions on OCI, customized to meet the needs of various industries and projects. The book takes you through the complete NLP solution life cycle—covering data preparation, model fine-tuning, deployment, and monitoring—while highlighting key topics such as cost-effectiveness and responsible AI for NLP implementations. Drawing from real-world experience and offering practical insights, it bridges the gap between theory and practice, equipping you to design and deploy scalable, cost-efficient NLP solutions. What You Will Learn Master key NLP concepts and the OCI ecosystem Create high-quality datasets using Hugging Face and OCI Data Labeling Service Fine-tune domain-specific pre-trained models from Hugging Face using OCI Data Science Notebook Sessions Deploy and operationalize your models with OCI Data Science Model Deployments Automate the NLP life cycle with OCI Data Science Pipelines Implement cost-effective strategies throughout the entire NLP life cycle, from dataset preparation to model training and deployment Who This Book Is For A diverse audience interested in implementing NLP solutions on Oracle Cloud Infrastructure: NLP practitioners, data scientists, and machine learning engineers who want to learn how to leverage Oracle AI and Hugging Face to implement an end-to-end NLP solution life cycle, from data preparation to model deployment; Oracle practitioners who want to expand their Oracle expertise by exploring OCI's advanced capabilities for building and scaling cutting-edge NLP solutions in enterprise environments; business decision makers who want to discover the strategic benefits of NLP solutions on OCI, including cost-effectiveness and responsible AI, while driving business value
Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition
by Thushan Ganegedara Andrei LopatenkoFrom introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) modelsKey FeaturesLearn to solve common NLP problems effectively with TensorFlow 2.xImplement end-to-end data pipelines guided by the underlying ML model architectureUse advanced LSTM techniques for complex data transformations, custom models and metricsBook DescriptionLearning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures. The book starts by getting readers familiar with NLP and the basics of TensorFlow. Then, it gradually teaches you different facets of TensorFlow 2.x. In the following chapters, you then learn how to generate powerful word vectors, classify text, generate new text, and generate image captions, among other exciting use-cases of real-world NLP. TensorFlow has evolved to be an ecosystem that supports a machine learning workflow through ingesting and transforming data, building models, monitoring, and productionization. We will then read text directly from files and perform the required transformations through a TensorFlow data pipeline. We will also see how to use a versatile visualization tool known as TensorBoard to visualize our models. By the end of this NLP book, you will be comfortable with using TensorFlow to build deep learning models with many different architectures, and efficiently ingest data using TensorFlow Additionally, you'll be able to confidently use TensorFlow throughout your machine learning workflow.What you will learnLearn core concepts of NLP and techniques with TensorFlowUse state-of-the-art Transformers and how they are used to solve NLP tasksPerform sentence classification and text generation using CNNs and RNNsUtilize advanced models for machine translation and image caption generationBuild end-to-end data pipelines in TensorFlowLearn interesting facts and practices related to the task at handCreate word representations of large amounts of data for deep learningWho this book is forThis book is for Python developers and programmers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks.Fundamental Python skills are assumed, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required.
Natural Language Processing: A Textbook with Python Implementation
by Raymond LeeThis textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Language Models and Generative AI. Additionally, it includes seven step-by-step NLP workshops, totaling 14 hours, that offer hands-on practice with essential Python tools, including NLTK, spaCy, TensorFlow, Keras, Transformers, and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.
Natural Language Understanding in Conversational AI with Deep Learning
by Yan Li Josiah Poon Soyeon Caren Han Henry Weld Jean LeeThis book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancements, and future of natural language understanding (NLU) in human-computer interactions. To this end, the book is structured in seven chapters: Introduction to Natural Language Understanding lays the foundation by tracing the evolution of NLU from early human communication to modern human-computer interactions. Prerequisites and Glossary for Natural Language Understanding then serves as a foundational resource, consolidating essential prerequisites and key terminologies relevant across the book. Single-Turn Natural Language Understanding looks at Single-Turn NLU, focusing on tasks that involve interpreting and processing user inputs in a single interaction, while Multi-Turn Natural Language Understanding moves on systems for extended interactions with users and explores techniques for managing dialogues, using context and integrating external knowledge bases. Next, Evaluating Natural Language Understanding discusses the annotation of datasets and various performance assessment methods, covering different levels of understanding from intent recognition to slot filling and domain classification. Applications and Case Studies in Natural Language Understanding subsequently shows real-world applications of NLU in finance, medicine, and law. Eventually Challenges, Conclusions and Future Directions explores the core obstacles hindering the advancement of NLU, including ambiguity, domain adaptation, data scarcity, and ethical concerns. By understanding these challenges, this chapter highlights the ongoing work needed to advance NLU. This book mainly targets researchers, PhD students, and professionals who are entering this field and look for a state-of-the-art introduction to NLU applied in conversational systems such as chatbots, large language models, or educational systems.
Natural Resource Monitoring, Planning and Management Based on Advanced Programming (Advances in Geographical and Environmental Sciences)
by Chaitanya B. Pande Arun Pratap Mishra Atul KaushikThis book focuses on cloud-based platforms, advanced programming, machine learning models and programming approaches to assess water and other natural resources, flood impact, land use land cover (LULC), global forest change, global forest canopy height and pantropical nation-level carbon stock, among other areas. Sustainable management of natural resources is urgently needed, given the immense anthropogenic pressure on the environment and the accelerated change in climatic conditions of the earth; therefore, the ability to monitor natural resources precisely and accurately is increasingly important. To meet this demand, new and advanced remote sensing tools and techniques are continually being developed to monitor and manage natural resources effectively. Remote sensing platforms use various sensors to record, measure and monitor even minor variations in the earth's surface features as well as atmospheric constituents. This book shows how environmental and ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Each chapter covers the different aspects of a remote sensing approach to effectively monitor natural resources and provide a platform for decision making and policy. The book is a valuable resource for researchers, scientists, NGOs and academicians working on climate change, environmental sciences, agriculture engineering, remote sensing and GIS, natural resources management, hydrology, soil sciences, agricultural microbiology, plant pathology and agronomy.
Natural Resource Pricing and Rents: An Economic Analysis (Contributions to Economics)
by Andrey Vavilov Georgy TrofimovThis book examines the economics of natural resource markets and pricing, as well as the field of natural resource economics in general. It presents the key contributions to this field of research, including the pioneering works and contemporary studies. The book highlights the basic principles and ideas underlying theoretical models of resource pricing. The models considered in the book underline the fundamental determinants of resource prices and the economic nature of rents for non-renewable and renewable resources. Besides the classical theory of exhaustible resource economics, the book includes several issues that are of high importance for global economic growth, such as the transition to alternative energy and the economics of climate change. The authors also consider the issues of commodity pricing and a resource cartel’s activity that are relevant to the world oil market.The book provides analytical solutions illustrated with numerical examples. It allows an intuitive understanding of the subject and the model inferences through graphical illustrations and an informal introduction. It, therefore, is a must-read for everybody interested in a better understanding of resource prices, resource markets, and resource economics.
Natural Resources as Capital (The\mit Press Ser.)
by Larry KarpAn introduction to the concepts and tools of natural resource economics, including dynamic models, market failures, and institutional remedies.This introduction to natural resource economics treats resources as a type of capital; their management is an investment problem requiring forward-looking behavior within a dynamic setting. Market failures are widespread, often associated with incomplete or nonexistent property rights, complicated by policy failures. The book covers standard resource economics topics, including both the Hotelling model for nonrenewable resources and models for renewable resources. The book also includes some topics in environmental economics that overlap with natural resource economics, including climate change.The text emphasizes skills and intuition needed to think about dynamic models and institutional remedies in the presence of both market and policy failures. It presents the nuts and bolts of resource economics as applied to nonrenewable resources, including the two-period model, stock-dependent costs, and resource scarcity. The chapters on renewable resources cover such topics as property rights as an alternative to regulation, the growth function, steady states, and maximum sustainable yield, using fisheries as a concrete setting. Other, less standard, topics covered include microeconomic issues such as arbitrage and the use of discounting; policy problems including the “Green Paradox”; foundations for policy analysis when market failures are important; and taxation. Appendixes offer reviews of the relevant mathematics. The book is suitable for use by upper-level undergraduates or, with the appendixes, masters-level courses.
Naturalizing Logico-Mathematical Knowledge: Approaches from Philosophy, Psychology and Cognitive Science (Routledge Studies in the Philosophy of Mathematics and Physics)
by Sorin BanguThis book is meant as a part of the larger contemporary philosophical project of naturalizing logico-mathematical knowledge, and addresses the key question that motivates most of the work in this field: What is philosophically relevant about the nature of logico-mathematical knowledge in recent research in psychology and cognitive science? The question about this distinctive kind of knowledge is rooted in Plato’s dialogues, and virtually all major philosophers have expressed interest in it. The essays in this collection tackle this important philosophical query from the perspective of the modern sciences of cognition, namely cognitive psychology and neuroscience. Naturalizing Logico-Mathematical Knowledge contributes to consolidating a new, emerging direction in the philosophy of mathematics, which, while keeping the traditional concerns of this sub-discipline in sight, aims to engage with them in a scientifically-informed manner. A subsequent aim is to signal the philosophers’ willingness to enter into a fruitful dialogue with the community of cognitive scientists and psychologists by examining their methods and interpretive strategies.