Bringing together an exciting group of knowledge workers, scholars and activists from across fields, this book revisits a foundational question of the Enlightenment: what is “the last or furthest end of knowledge”? It is a book about why we do what we do, and how we might know when we are done. In the reorganization of knowledge that characterized the Enlightenment, disciplines were conceived as having particular “ends,” both in terms of purposes and end-points. As we experience an ongoing shift to the knowledge economy of the Information Age, this collection asks whether we still conceptualize knowledge in this way. Does an individual discipline have both an inherent purpose and a natural endpoint? What do an experiment on a fruit fly, a reading of a poem, and the writing of a line of code have in common? Focusing on areas as diverse as AI; biology; Black studies; literary studies; physics; political activism; and the concept of disciplinarity itself, contributors uncover a life after disciplinarity for subjects that face immediate threats to the structure if not the substance of their contributions. These essays – whether reflective, historical, eulogistic, or polemical – chart a vital and necessary course towards the reorganization of knowledge production as a whole.

In this second edition of Steve Fuller's original work Philosophy, Rhetoric, and the End of Knowledge: A New Beginning for Science and Technology Studies, James Collier joins Fuller in developing an updated and accessible version of Fuller's classic volume. The new edition shifts focus slightly to balance the discussions of theory and practice, and the writing style is oriented to advanced students. It addresses the contemporary problems of knowledge to develop the basis for a more publicly accountable science. The resources of social epistemology are deployed to provide a positive agenda of research, teaching, and political action designed to bring out the best in both the ancient discipline of rhetoric and the emerging field of science and technology studies (STS). The authors reclaim and integrate STS and rhetoric to explore the problems of knowledge as a social process--problems of increasing public interest that extend beyond traditional disciplinary resources. In so doing, the differences among disciplines must be questioned (the exercise of STS) and the disciplinary boundaries must be renegotiated (the exercise of rhetoric). This book innovatively integrates a sophisticated theoretical approach to the social processes of creating knowledge with a developing pedagogical apparatus. The thought questions at the end of each chapter, the postscript, and the appendix allow the reader to actively engage the text in order to discuss and apply its theoretical insights. Creating new standards for interdisciplinary scholarship and communication, the authors bring numerous disciplines into conversation in formulating a new kind of rhetoric geared toward greater democratic participation in the knowledge-making process. This volume is intended for students and scholars in rhetoric of science, science studies, philosophy, and communication, and will be of interest in English, sociology, and knowledge management arenas as well.

This volume examines the connections between technological change and its knowledge base, focusing in particular on Europe during the Industrial Revolution.

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world’s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses on the subject of deep reinforcement learning. The aim of this book is to provide an overview of the field, at the proper level of detail for a graduate course in artificial intelligence. It covers the complete field, from the basic algorithms of Deep Q-learning, to advanced topics such as multi-agent reinforcement learning and meta learning.

In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.

"Teacher Leadership 2.0 is a step-by-step discussion and description of how and why to foster teacher leadership in schools. Unlike top-down delivered leadership, this book will seek to empower teachers throughout schools to create and grow in leadership roles. This topic has gained traction in district and school level discussions and has become a key topic at teacher and principal conferences in the last few years. There are five conceptual must-haves that are essential in promoting teacher leadership in schools today. Must-Have #1: Why Top Down Change Is Less Effective Today Than Ever. Must-Have #2: Teacher Leadership in Schools Is a Force Not a Position. Must-Have #3: Why We Don't See Teachers as Leaders (Bad Images of Teachers). Must-Have #4: Leadership, Learning, and Change Are One. Must-Have #5: Teacher Leadership: A New Definition"-- Provided by publisher.

Get a 360-degree view of digital project management. Learn proven best practices from case studies and real-world scenarios. A variety of project management tools, templates, models, and frameworks are covered. This book provides an in-depth view of digital project management from initiation to execution to monitoring and maintenance. Covering end-to-end topics from pre-sales to post-production, the book explores project management from various dimensions. Each core concept is complemented by case studies and real-world scenarios. The Complete Guide to Digital Project Management provides valuable tools for your use such as: Frameworks: governance, quality, knowledge transfer, root cause analysis, digital product evaluation, digital consulting, estimation Templates: estimation, staffing, resource induction, RACI Models: governance, estimation, pricing, digital maturity continuous execution, earned value management and effort forecast Metrics: project management, quality What You’ll Learn Study best practices and failure scenarios in digital projects, including common challenges, recurring problem themes, and leading indicators of project failures Explore an in-depth discussion of topics related to project quality and project governance Understand Agile and Scrum practices for Agile execution See how to apply Quality Management in digital projects, including a quality strategy, a quality framework, achieving quality in various project phases, and quality best practices Be able to use proven metrics and KPIs to track, monitor, and measure project performance Discover upcoming trends and innovations in digital project management Read more than 20 real-world scenarios in digital project management with proven best practices to handle the scenarios, and a chapter on a digital transformation case study Who This Book Is For Software project managers, software program managers, account managers, software architects, lead developers, and digital enthusiasts

Mapping the resonances, dissonances, and linkages between the thought of Gramsci and Foucault to uncover new tools for socio-political and critical analysis for the twenty-first century, this book reassesses the widely-held view that their work is incompatible. With discussions of Latin American revolutionary politics, indigenous knowledges, technologies of government and the teaching of paediatrics in post-invasion Iraq, complexity theory, medical anthropology and biomedicine, and the role of Islam in the transition to modern society in the Arab world, this interdisciplinary volume presents the latest theoretical research on different facets of these two thinkers’ work, as well analyses of the specific linkages that exist between them in concrete settings.