Dieses Buch untersucht experimentelle Ansätze für Entwurf und Umsetzung von Holzstrukturen in der Architektur und präsentiert zugleich die Resultate eines künstlerischen Forschungsprojekts. Durch den Einsatz digitaler Werkzeuge wird die Anatomie des Holzes als entwurfsbestimmendes Prinzip für Raumgefüge genutzt, das Potenzial traditioneller Handwerkskunst erforscht und daraus eine materialorientierte Architekturpraxis abgeleitet. Strukturen werden hier nicht für eine bestimmte Nutzung entworfen, sondern eröffnen aufgrund ihrer spezifischen räumlichen und geometrischen Eigenschaften unterschiedliche Möglichkeiten der Bespielung. Die Dokumentation gibt Einblick in einen ergebnisoffenen Forschungsprozess. Gastbeiträge reflektieren die zugrunde liegenden Konzepte und damit die zukünftige Relevanz des Baustoffs Holz.

Dieses Buch untersucht experimentelle Ansätze für Entwurf und Umsetzung von Holzstrukturen in der Architektur und präsentiert zugleich die Resultate eines künstlerischen Forschungsprojekts. Durch den Einsatz digitaler Werkzeuge wird die Anatomie des Holzes als entwurfsbestimmendes Prinzip für Raumgefüge genutzt, das Potenzial traditioneller Handwerkskunst erforscht und daraus eine materialorientierte Architekturpraxis abgeleitet. Strukturen werden hier nicht für eine bestimmte Nutzung entworfen, sondern eröffnen aufgrund ihrer spezifischen räumlichen und geometrischen Eigenschaften unterschiedliche Möglichkeiten der Bespielung. Die Dokumentation gibt Einblick in einen ergebnisoffenen Forschungsprozess. Gastbeiträge reflektieren die zugrunde liegenden Konzepte und damit die zukünftige Relevanz des Baustoffs Holz.

Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.

Naturalism as a guiding philosophy for modern science both disavows any appeal to the supernatural or anything else transcendent to nature, and repudiates any philosophical or religious authority over the workings and conclusions of the sciences. A longstanding paradox within naturalism, however, has been the status of scientific knowledge itself, which seems, at first glance, to be something that transcends and is therefore impossible to conceptualize within scientific naturalism itself. In Articulating the World, Joseph Rouse argues that the most pressing challenge for advocates of naturalism today is precisely this: to understand how to make sense of a scientific conception of nature as itself part of nature, scientifically understood. Drawing upon recent developments in evolutionary biology and the philosophy of science, Rouse defends naturalism in response to this challenge by revising both how we understand our scientific conception of the world and how we situate ourselves within it.

Information Modeling and Relational Databases, Third Edition, provides an introduction to ORM (Object-Role Modeling) and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Dr. Terry Halpin and Dr. Tony Morgan, pioneers in the development of ORM, blend conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. The all-new Third Edition includes coverage of advances and improvements in ORM and UML, nominalization, relational mapping, SQL, XML, data interchange, NoSQL databases, ontological modeling, and post-relational databases. Supported by examples, exercises, and useful background information, the authors' step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. "This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases." — Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands - Presents the most in-depth coverage of object-role modeling, including a thorough update of the book for the latest versions of ORM, ER, UML, OWL, and BPMN modeling. - Includes clear coverage of relational database concepts as well as the latest developments in SQL, XML, information modeling, data exchange, and schema transformation. - Case studies and a large number of class-tested exercises are provided for many topics. - Includes all-new chapters on data file formats and NoSQL databases.

"This is the book I wished had been available when I was a student. Graduate students will find this an invaluable guide and the book will also be accessible to undergraduates as Kramer does such a good job of making theory understandable." Karen Myers, University of California Santa Barbara --

The purpose of this book is to disseminate the research results and best practice from researchers and practitioners interested in and working on modeling methods and methodologies. Though the need for such studies is well recognized, there is a paucity of such research in the literature. What specifically distinguishes this book is that it looks at various research domains and areas such as enterprise, process, goal, object-orientation, data, requirements, ontology, and component modeling, to provide an overview of existing approaches and best practices in these conceptually closely-related fields. *Note: This book is part of a series entitled ?Advanced Topics in Database Research".