Spaces Of Knowledge

Space, Knowledge and Power

Michel Foucault’s work is rich with implications and insights concerning spatiality, and has inspired many geographers and social scientists to develop these ideas in their own research. This book, the first to engage Foucault’s geographies in detail from a wide range of perspectives, is framed around his discussions with the French geography journal Hérodote in the mid 1970s. The opening third of the book comprises some of Foucault’s previously untranslated work on questions of space, a range of responses from French and English language commentators, and a newly translated essay by Claude Raffestin, a leading Swiss geographer. The rest of the book presents specially commissioned essays which examine the remarkable reception of Foucault’s work in English and French language geography; situate Foucault’s project historically; and provide a series of developments of his work in the contemporary contexts of power, biopolitics, governmentality and war. Contributors include a number of key figures in social/spatial theory such as David Harvey, Chris Philo, Sara Mills, Nigel Thrift, John Agnew, Thomas Flynn and Matthew Hannah. Written in an open and engaging tone, the contributors discuss just what they find valuable - and frustrating - about Foucault’s geographies. This is a book which will both surprise and challenge.

Introduction to Knowledge Systems

Focusing on fundamental scientific and engineering issues, this book communicates the principles of building and using knowledge systems from the conceptual standpoint as well as the practical. Previous treatments of knowledge systems have focused on applications within a particular field, or on symbol-level representations, such as the use of frame and rule representations. Introduction to Knowledge Systems presents fundamentals of symbol-level representations including representations for time, space, uncertainty, and vagueness. It also compares the knowledge-level organizations for three common knowledge-intensive tasks: classification, configuration, and diagnosis. The art of building knowledge systems incorporates computer science theory, programming practice, and psychology. The scope of this book is appropriately broad, ranging from the design of hierarchical search algorithms to techniques for acquiring the task-specific knowledge needed for successful applications. Each chapter proceeds from concepts to applications, and closes with a brief tour of current research topics and open issues. Readers will come away with a solid foundation that will enable them to create real-world knowledge systems using whatever tools and programming languages are most current and appropriate.

Oral Training Lessons in Natural Science and General Knowledge