Humans have an extraordinary capability to combine different types of information in a single meaningful interpretation. The quickness with which interpretation processes evolve suggests the existence of a uniform procedure for all domains. In this book the authors suggest that such a procedure can be found. They concentrate on the introduction of a theory of interpretation, and they define a model that enables a meaningful representation of knowledge, based on a dynamic view of information and a cognitive model of human information processing. The book consists of three parts. The first part focuses on the properties of signs and sign interpretation; in the second part the authors introduce a model that complies with the conditions for sign processing set by the first part; and in the third part they examine applications of their model in the domain of logic, natural language, reasoning and mathematics. Finally they show how these domains pop up as perspectives in an overall model of knowledge representation. The reader is assumed to have some interest in human information processing and knowledge modeling. Natural language is considered in the obvious sense, familiarity with linguistic theories is not required. Sign theoretical concepts are restricted to a manageable subset, which is introduced gently. Finally, some familiarity with basic concepts of propositional and syllogistic logic may be useful.

Comprehensive overview of the University of Michigan's Museums, Libraries, and collections

There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, How People Learn: Brain, Mind, Experience, and School: Expanded Edition was published and its influence has been wide and deep. The report summarized insights on the nature of learning in school-aged children; described principles for the design of effective learning environments; and provided examples of how that could be implemented in the classroom. Since then, researchers have continued to investigate the nature of learning and have generated new findings related to the neurological processes involved in learning, individual and cultural variability related to learning, and educational technologies. In addition to expanding scientific understanding of the mechanisms of learning and how the brain adapts throughout the lifespan, there have been important discoveries about influences on learning, particularly sociocultural factors and the structure of learning environments. How People Learn II: Learners, Contexts, and Cultures provides a much-needed update incorporating insights gained from this research over the past decade. The book expands on the foundation laid out in the 2000 report and takes an in-depth look at the constellation of influences that affect individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators of students and adults.

This edited collection, Political Economy, Literature & the Formation of Knowledge, aims to address the genealogy and formation of political economy as a knowledge project from 1720 to 1850. Through individual essays on both literary and political economic writers, this volume defines and analyses the formative moves, both epistemological and representational, which proved foundational to the emergence of political economy as a dominant discourse of modernity. The collection also explores political economy’s relation to other discourses and knowledge practices in this period; representation in and of political economy; abstraction and political economy; fictional mediations and interrogations of political economy; and political economy and its ‘others’, including political economy and affect, and political economy and the aesthetic. Essays presented in this text are at once historical and conceptual in focus, and manifest literary critical disciplinary expertise whilst being of genuinely broad and interdisciplinary interest. Amongst the writers whose work is addressed are: Charles Dickens, Elizabeth Gaskell, David Hume, Thomas Malthus, Jane Marcet, J. S. Mill, David Ricardo, and Adam Smith. The introduction, by the editors, sets up the conceptual, theoretical and analytical framework explored by each of the essays. The final essay and response bring the concerns of the volume up to date by engaging with current economic and financial realities, by, respectively, showing how an informed and critical history of political economy could transform current economic practices, and by exploring the abundance of recent conceptual art addressing representation and the unpresentable in economic practice.

This study stresses the centrality of the theory of professions and professionalization for analysis of the relations between occupation and knowledge, state and strategy. Contributors explore the varied appearance and behaviour of various knowledge-based groups.

This book concerns industry creation as knowledge creation. The authors argue that a new class of global, knowledge-driven manufacturing industries has emerged in which learning, continuity, and speed define competition. In these new industries, access to knowledge creation processes matters more than ownership of physical assets. Location matters only insofar as it confers learning advantages and market access. Companies need strategies that can mobilize their organizations' country-specific strengths and freely leverage them in open, global learning partnerships with allies, suppliers, and customers. Managing New Industry Creation distills principles that managers can use to seize leadership for their companies as these new industries emerge. The authors draw their insights from firsthand discussions with over 160 managers and scientists who helped found the high-information-content flat panel display (FPD) industry. In the early 1990s, large-format FPDs exploded into public knowledge as a critical enabling technology for notebook computers. In the future, FPDs will increasingly function as the face by which users interact with technology products. The book recounts the business decisions that propelled the industry from humble beginnings to empower a globally mobile workforce and eventually build wall-hanging, high definition televisions that every household can afford. The FPD industry was the first new manufacturing industry to fully emerge in a global economy defined more by trade in knowledge than in physical products. Although FPDs were commercialized in Japan, the joint efforts of an international community of companies made high-volume production of large displays viable. Companies from outside of Japan—including IBM, Applied Materials, and Corning—achieved key positions by challenging U.S.-centered preconceptions of innovation, new business creation, and management process, giving unprecedented global authority and responsibility to their Japanese affiliates. Their success established new rules for competing in the knowledge-driven, global manufacturing industries of the future, first described here for managers, R&D scientists, academics, and students of corporate strategy.

Humans have an extraordinary capability to combine different types of information in a single meaningful interpretation. The quickness with which interpretation processes evolve suggests the existence of a uniform procedure for all domains. In this book the authors suggest that such a procedure can be found. They concentrate on the introduction of a theory of interpretation, and they define a model that enables a meaningful representation of knowledge, based on a dynamic view of information and a cognitive model of human information processing. The book consists of three parts. The first part focuses on the properties of signs and sign interpretation; in the second part the authors introduce a model that complies with the conditions for sign processing set by the first part; and in the third part they examine applications of their model in the domain of logic, natural language, reasoning and mathematics. Finally they show how these domains pop up as perspectives in an overall model of knowledge representation. The reader is assumed to have some interest in human information processing and knowledge modeling. Natural language is considered in the obvious sense, familiarity with linguistic theories is not required. Sign theoretical concepts are restricted to a manageable subset, which is introduced gently. Finally, some familiarity with basic concepts of propositional and syllogistic logic may be useful.