Experience the transformative power of a Reality too vast to grasp. In Part One embark on a voyage through the enigmatic ‘Land of Mystery,’ where we learn to thrive amidst uncertainty, nourishing our curious beings with approximate yet meaningful insights. Delve into Part Two and explore the tapestry of religious practices inviting the Eternity of Profound Reality to be present in our lives. Finally in Part Three, take in the example of Christian faith, especially where ancient scriptures resonate with newfound relevance in the modern era. Through these pages find balance in being more alive within these challenging times.
In this lively and accessible book Lorraine Code addresses one of the most controversial questions in contemporary theory of knowledge, a question of fundamental concern for feminist theory as well: Is the sex of the knower epistemologically significant? Responding in the affirmative, Code offers a radical alterantive to mainstream philosophy's terms for what counts as knowledge and how it is to be evaluated. Code first reviews the literature of established epistemologies and unmasks the prevailing assumption in Anglo-American philosophy that "the knower" is a value-free and ideologically neutral abstraction. Approaching knowledge as a social construct produced and validated through critical dialogue, she defines the knower in light of a conception of subjectivity based on a personal relational model. Code maps out the relevance of the particular people involved in knowing: their historical specificity, the kinds of relationships they have, the effects of social position and power on those relationships, and the ways in which knowledge can change both knower and known. In an exploration of the politics of knowledge that mainstream epistemologies sustain, she examines such issues as the function of knowledge in shaping institutions and the unequal distribution of cognitive resources. What Can She Know? will raise the level of debate concerning epistemological issues among philosophers, political and social scientists, and anyone interested in feminist theory.
Written in a smart, funny, and friendly tone, The Approximate Parent: Discovering the Strategies That Work with Your Teenager helps you translate what your teen thinks, feels, and does¿to give you practical ways of supporting your teen, from adolescence into adulthood. Learn to strategize wisely, taking into account both the current American culture of adolescents and your particular teen¿s biology, temperament, and developmental challenges. This highly accessible book is informed by the latest research on adolescent development, effects of digital media on youth and identity formation, relationships/ sexuality and trends in drug and alcohol use, drawing on work in such diverse fields as clinical psychology, cognitive neuroscience, epigenetics, sociology, anthropology, philosophy and religious studies. Michael Simon uses his 25 years of work with teens¿as a psychotherapist, school counselor, and parent¿to help make your job easier as a parent, educator or health professional.
In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint.
Praise for the First Edition "Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautiful book fills a gap in the libraries of OR specialists and practitioners." —Computing Reviews This new edition showcases a focus on modeling and computation for complex classes of approximate dynamic programming problems Understanding approximate dynamic programming (ADP) is vital in order to develop practical and high-quality solutions to complex industrial problems, particularly when those problems involve making decisions in the presence of uncertainty. Approximate Dynamic Programming, Second Edition uniquely integrates four distinct disciplines—Markov decision processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully approach, model, and solve a wide range of real-life problems using ADP. The book continues to bridge the gap between computer science, simulation, and operations research and now adopts the notation and vocabulary of reinforcement learning as well as stochastic search and simulation optimization. The author outlines the essential algorithms that serve as a starting point in the design of practical solutions for real problems. The three curses of dimensionality that impact complex problems are introduced and detailed coverage of implementation challenges is provided. The Second Edition also features: A new chapter describing four fundamental classes of policies for working with diverse stochastic optimization problems: myopic policies, look-ahead policies, policy function approximations, and policies based on value function approximations A new chapter on policy search that brings together stochastic search and simulation optimization concepts and introduces a new class of optimal learning strategies Updated coverage of the exploration exploitation problem in ADP, now including a recently developed method for doing active learning in the presence of a physical state, using the concept of the knowledge gradient A new sequence of chapters describing statistical methods for approximating value functions, estimating the value of a fixed policy, and value function approximation while searching for optimal policies The presented coverage of ADP emphasizes models and algorithms, focusing on related applications and computation while also discussing the theoretical side of the topic that explores proofs of convergence and rate of convergence. A related website features an ongoing discussion of the evolving fields of approximation dynamic programming and reinforcement learning, along with additional readings, software, and datasets. Requiring only a basic understanding of statistics and probability, Approximate Dynamic Programming, Second Edition is an excellent book for industrial engineering and operations research courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who utilize dynamic programming, stochastic programming, and control theory to solve problems in their everyday work.
A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented The contributors are leading researchers in the field
This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
In this systematic philosophical critique of the major tenets of Christianity, Michael Martin examines the semantic and epistemological bases of religious claims and beliefs. Beginning with a comparison and evaluation of the Apostles' Creed, the Niceno-Chalcedonian Creed, and the Athanasian Creed, Martin discusses the principal theological, historical, and eschatological assumptions of Christianity. These include the historicity of Jesus, the Incarnation, the Second Coming, the Virgin Birth, the Resurrection, Salvation through faith in Jesus, and Jesus as a model of ethical behavior. Until now, an adequately convincing criticism of Christianity did not exist. Martin's use of historical evidence, textual analysis, and interpretations by philosophers and theologians provides the strongest case made to date against the rational justification of Christian doctrines.
