The Knowledge Evolution

The Knowledge Evolution offers a unique and powerful road map for understanding knowledge creation, learning, and performance in everyday work. This book reframes current thinking by delving into the hidden world of knowledge supporting both individual and organizational performance, laying the foundation for the emerging art of knowledge management. Packed with best practices from leading edge companies, essential guidelines, design principles, analogies, and conceptual frameworks, it serves as a practical guidebook for mastering the Knowledge Era. It will help managers make more intelligent decisions about knowledge creation, reduce wasteful technology investments and lead to new ease and confidence in applying knowledge and learning principles for themselves and for their organizations. Verna Allee delves into current thinking and practice to unravel the genetic code of knowledge itself. This revolutionary approach has surfaced a simple and elegant knowledge archetype. She demonstrates how this archetype can help us deal with complexity and suggests ways of self-organizing that make profound sense in today's networked enterprises. From strategies for core knowledge competencies to the key components of individual expertise, The Knowledge Evolution zeroes in on the critical success factors for the knowledge-based enterprise. What emerges is an approach to knowledge management that is simple enough to communicate at every level of the organization, yet rich enough to encompass all the complexity of modern enterprises. Verna Allee is the founder of Integral Performance Group, a consulting practice in California that specializes in the learning organization, knowledge competencies, organizational systems change, systems thinking, total quality and learning, benchmarking support, best practices research, and strategic development. She holds a degree in the Study of Human Consciousness and her work is informed by a deep interest in intelligence, human development, cognition, intuition and consciousness. She is the author of Learning Links: Enhancing Individual and Team Performance, Pfeiffer and Co-Jossey Bass, 1996.

Jürgen Renn examines the role of knowledge in global transformations going back to the dawn of civilization while providing vital perspectives on the complex challenges confronting us today in the Anthropocene--this new geological epoch shaped by humankind. Renn reframes the history of science and technology within a much broader history of knowledge, analyzing key episodes such as the evolution of writing, the emergence of science in the ancient world, the Scientific Revolution of early modernity, the globalization of knowledge, industrialization, and the profound transformations wrought by modern science. He investigates the evolution of knowledge using an array of disciplines and methods, from cognitive science and experimental psychology to earth science and evolutionary biology. The result is an entirely new framework for understanding structural changes in systems of knowledge--and a bold new approach to the history and philosophy of science.

The Knowledge Evolution offers a unique and powerful road map for understanding knowledge creation, learning, and performance in everyday work. This book reframes current thinking by delving into the hidden world of knowledge supporting both individual and organizational performance, laying the foundation for the emerging art of knowledge management. Packed with best practices from leading edge companies, essential guidelines, design principles, analogies, and conceptual frameworks, it serves as a practical guidebook for mastering the Knowledge Era. It will help managers make more intelligent decisions about knowledge creation, reduce wasteful technology investments and lead to new ease and confidence in applying knowledge and learning principles for themselves and for their organizations. Verna Allee delves into current thinking and practice to unravel the genetic code of knowledge itself. This revolutionary approach has surfaced a simple and elegant knowledge archetype. She demonstrates how this archetype can help us deal with complexity and suggests ways of self-organizing that make profound sense in today's networked enterprises. From strategies for core knowledge competencies to the key components of individual expertise, The Knowledge Evolution zeroes in on the critical success factors for the knowledge-based enterprise. What emerges is an approach to knowledge management that is simple enough to communicate at every level of the organization, yet rich enough to encompass all the complexity of modern enterprises. Verna Allee is the founder of Integral Performance Group, a consulting practice in California that specializes in the learning organization, knowledge competencies, organizational systems change, systems thinking, total quality and learning, benchmarking support, best practices research, and strategic development. She holds a degree in the Study of Human Consciousness and her work is informed by a deep interest in intelligence, human development, cognition, intuition and consciousness. She is the author of Learning Links: Enhancing Individual and Team Performance, Pfeiffer and Co-Jossey Bass, 1996.

The Evolution of Scientific Knowledge aims to reach a unique understanding of science with the help of economic and sociological theories. The economic theories used are institutionalist and evolutionary. The sociological theories draw from the type of work on social studies of science that have, in recent decades, transformed our picture of science and technology.

Foreword / Eamonn Butler -- Friedrich Hayek, Nobel prizewinner / Arthur Shenfield -- Coping with ignorance / F.A. Hayek -- Science and socialism / F.A. Hayek -- The reactionary nature of the socialist conception / F.A. Hayek -- Our moral heritage / F.A. Hayek.

This volume explores how the limitations of human knowledge creates opportunities as well as problems in the modern economy.

Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines explains how to design and build the next generation of intelligent machines that solve social and environmental problems in a systematic, coherent, and optimal fashion. The book brings together principles from computer and communication sciences, electrical engineering, mathematics, physics, social sciences, and more to describe computer systems that deal with knowledge, its representation, and how to deal with knowledge centric objects. Readers will learn new tools and techniques to measure, enhance, and optimize artificial intelligence strategies for efficiently searching through vast knowledge bases, as well as how to ensure the security of information in open, easily accessible, and fast digital networks. Author Syed Ahamed joins the basic concepts from various disciplines to describe a robust and coherent knowledge sciences discipline that provides readers with tools, units, and measures to evaluate the flow of knowledge during course work or their research. He offers a unique academic and industrial perspective of the concurrent dynamic changes in computer and communication industries based upon his research. The author has experience both in industry and in teaching graduate level telecommunications and network architecture courses, particularly those dealing with applications of networks in education. Presents a current perspective of developments in central, display, signal, and graphics processor-units as they apply to designing knowledge systems Offers ideas and methodologies for systematically extending data and object processing in computing into other disciplines such as economics, mathematics, and management Provides best practices and designs for engineers alongside case studies that illustrate practical implementation ideas across multiple domains