Founded in 1985 by Jean-Claude Falmagne and Jean-Paul Doignon, Knowledge Structure Theory (KST) constitutes a rigorous and current mathematical theory for the representation and the assessment of human knowledge. The seminal work of these authors initiated a highly active research strand with an ever-growing literature, mostly scattered across various technical journals.Starting from a concise but comprehensive introduction to its foundations, this volume provides a state-of-the-art review of KST. For the first time the volume brings together the most important theoretical developments and extensions of the last decade and presents new areas of application beyond education, with contributions by key researchers in the field.Among the important advances covered by this book are (1) a comprehensive treatment of probabilistic models in KST; (2) polytomous extensions of the theory; (3) KST-based psychological diagnostics and neuropsychological assessment; (4) the representation and assessment of cognitive skills in problem solving, as well as procedural skills. In addition, this book also includes an overview of available software for the application of KST.

Founded in 1985 by Jean-Claude Falmagne and Jean-Paul Doignon, Knowledge Structure Theory (KST) constitutes a rigorous and current mathematical theory for the representation and the assessment of human knowledge. The seminal work of these authors initiated a highly active research strand with an ever-growing literature, mostly scattered across various technical journals.Starting from a concise but comprehensive introduction to the foundations of KST, this state-of-the-art review volume for the first time brings together the most important theoretical developments and extensions of the last decade and presents new areas of application beyond education, with contributions by key researchers in their respective fields.Among the important advances covered by this book are (1) a comprehensive treatment of probabilistic models in KST; (2) polytomous extensions of the theory; (3) KST-based psychological diagnostics and neuropsychological assessment; (4) the representation and assessment of cognitive skills in problem solving, as well as procedural skills. In addition, this book also includes an overview of available software for the application of KST.

The book describes up-to-date applications and relevant theoretical results. These applications come from various places, but the most important one, numerically speaking, is the internet based educational system ALEKS. The ALEKS system is bilingual English-Spanish and covers all of mathematics, from third grade to the end of high school, and chemistry. It is also widely used in higher education because US students are often poorly prepared when they reach the university level. The chapter by Taagepera and Arasasingham deals with the application of knowledge spaces, independent of ALEKS, to the teaching of college chemistry. The four chapters by Albert and his collaborators strive to give cognitive interpretations to the combinatoric structures obtained and used by the ALEKS system. The contribution by Eppstein is technical and develops means of searching the knowledge structure efficiently.

Based on the formal concept of "knowledge structures" originally proposed by Jean-Claude Falmagne and Jean-Paul Doignon, this book contains descriptions of methodological developments and experimental investigations as well as applications for various knowledge domains. The authors address three main topics: * theoretical issues and extensions of Doignon & Falmagne's theory of knowledge structures; * empirical validations of specific problem types and knowledge domains, such as sentence comprehension, problem solving in chess, inductive reasoning, elementary mathematical reasoning, and others; and * application of knowledge structures in various contexts, including knowledge assessment, intelligent tutoring systems, and motor learning. Unlike most other approaches in the literature in cognitive psychology, this book provides both a rigorous mathematical formulation of knowledge-related psychological concepts and its empirical validation by experimental data.

The Structures of Practical Knowledge investigates the nature of practical knowledge – why, how, when and by whom it is codified, and once codified, how this knowledge is structured. The inquiry unfolds in a series of fifteen case studies, which range in focus from early modern Italy to eighteenth century China. At the heart of each study is a shared definition of practical knowledge, that is, knowledge needed to obtain a certain outcome, whether that be an artistic or mechanical artifact, a healing practice, or a mathematical result. While the content of practical knowledge is widely variable, this study shows that all practical knowledge is formally equivalent in following a defined workflow, as reflected in a construction procedure, a recipe, or an algorithm. As explored in the volume’s fifteen contributions, there are three levels at which structures of practical knowledge may be understood and examined. At the most immediate level, there are the individual workflows that encompasses practical knowledge itself. Probing further, it is possible to examine the structure of practical knowledge as it is externalized and codified in texts, drawings, and artifacts such as models. Finally, practical knowledge is also related to social structures, which fundamentally determine its dissemination and evolution into new knowledge structures. The social structures of professionals and institutions represent the critical means by which practical knowledge takes form. These actors are the agents of codification, and by means of selection, appropriation, investment, and knowledge development, they determine the formation of new structures of practical knowledge. On a more abstract level, the creation of new knowledge structures is understood as constituting the basis for the further development of scientific knowledge. Rich in subject matter and incisive in the theory it lays out, this volume represents an important contribution to the history of science and epistemology. Individually, the fifteen case studies – encompassing the history of architecture, mining, brewing, glass production, printing, ballistics, mechanics, cartography, cosmology and astronomy – are replete with original research, and offer new insights into the history of science. Taken together, the contributions remodel historical epistemology as a whole, elucidating the underlining knowledge structures that transcend disciplinary boundaries, and that unite practitioners across time and space.

This book aims to synthesize different directions in knowledge studies into a unified theory of knowledge and knowledge processes. It explicates important relations between knowledge and information. It provides the readers with understanding of the essence and structure of knowledge, explicating operations and process that are based on knowledge and vital for society.The book also highlights how the theory of knowledge paves the way for more advanced design and utilization of computers and networks.

This book aims to synthesize different directions in knowledge studies into a unified theory of knowledge and knowledge processes. It explicates important relations between knowledge and information. It provides the readers with understanding of the essence and structure of knowledge, explicating operations and process that are based on knowledge and vital for society. The book also highlights how the theory of knowledge paves the way for more advanced design and utilization of computers and networks.

First Published in 1986. This book marks a watershed in cognitive science activity at Yale University. Over the past decade, the cognitive science orientation has become more and more integrated into the mainstream of cognitive psychology, and artificial intelligence workers now feel comfortable thinking about psychological experimentation. This book collects in one place the research work which concentrates on covering topics in the representation, processing, and recall of meaningful verbal .materials. Several of the chapters are first reports of research; others are specially prepared reviews and elaborations of research reported previously. Here it is all together: Studies of scripts, plans, and higher-level knowledge structures; analyses of knowledge structure activation, of autobiographical memory, of the phenomenon of reminding, of the summarization of text, of explanations for events, and more.

This volume contains recent and cutting-edge articles from leading criminological theorists. The book is organized into ten sections, each representing the latest in the multi-disciplinary orientations representing a cross-section of contemporary criminological theory. These sections include: 1: Classical and Rational Choice; 2: Biological and Biosocial; 3: Psychological; 4: Social Learning and Neutralization; 5: Social Control; 6: Social Ecology, Sub-cultural and Cultural; 7: Anomie and Strain; 8: Conflict and Radical; 9: Feminist and Gender; 10: Critical Criminologies: Anarchist, Postmodernist, Peacemaking. The articles were selected based on their contributions to advancing the field, including ways in which the authors of each chapter understand the current theoretical tendencies of their respective approaches and how they envision the future of their theories. Because of this, the articles focus on theory rather than empirical research. Of particular note is the tendency toward integration of different perspectives, as described by editors, Henry and Lukas, in their original introduction to this volume.

Tying together almost four decades of neo-Piagetian research, Cognitive Development provides a unique critical analysis and a comparison of concepts across neo-Piagetian theories. Like Piaget, neo-Piagetian theorists take a constructivist approach to cognitive development, are broad in scope, and assume that cognitive development is divided into stages with qualitative differences. Unlike Piaget, however, they define the increasing complexity of the stages in accordance with the child’s information processing system, rather than in terms of logical properties. This volume illustrates these characteristics and evidences the exciting possibilities for neo-Piagetian research to build connections both with other theoretical approaches such as dynamic systems and with other fields such as brain science. The opening chapter provides a historical orientation, including a critical distinction between the "logical" and the "dialectical" Piaget. In subsequent chapters the major theories and experimental findings are reviewed, including Pascual-Leone's Theory of Constructive Operators, Halford's structuralist theory, Fischer's dynamic systems approach to skills, Case's theory of Central Conceptual Structures, Siegler’s microgenetic approach, and the proposals of Mounoud and Karmiloff-Smith, as well as the work of others, including Demetriou and de Ribaupierre. The interrelation of emotional and cognitive development is discussed extensively, as is relevant non neo-Piagetian research on information processing. The application of neo-Piagetian research to a variety of topics including children's problem solving, psychometrics, and education is highlighted. The book concludes with the authors' views on possibilities for an integrated neo-Piagetian approach to cognitive development.