"David Blackbourn tells the story of how the German people transformed their landscape over 250 years from a waterlogged swampland into one of the most powerful countries in the Western world. His account, in which he shows how Germans set out to "conquer" that most fundamental natural element, water, brings together politics, culture, economics, and ecology in a daring work of total history."--BOOK JACKET.
The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.
Expert system technology is receiving increasing popularity and acceptance in the engineering community. This is due to the fact that there actually exists a close match between the capabilities of the current generation expert systems and the requirements of engineering practice. Prepared by a distinguished team of experts, this book provides a balanced state-of-the-art presentation of the design principles of engineering expert systems, and a representative picture of their capabilities to assist efficiently the design, diagnosis and operation of complex industrial plants. Among the application areas covered are the following: hardware synthesis, industrial plant layout design, fault diagnosis, process control, image analysis, computer communication, electric power systems, intelligent control, robotics, and manufacturing systems. The book is appropriate for the researcher and the professional. The researcher can save considerable time in searching the scattered technical information on engineering expert systems. The professional can have readily available a rich set of guidelines and techniques that are applicable to a wide class of engineering domains.
Planning for the use of rural lands in the developed countries of the world has become an increasingly contentious process as resources become more limited and conflicting needs grow stronger. The critical questions are "Which is more important—agriculture, livestock production, recreation, industry, or urban housing?" and "Who decides priorities and responsibilities for use?" The capacity of the land to meet all of the demands placed upon it, without serious environmental disruption, has become a major concern for all. Recognizing the exigencies of the situation, the contributors define and evaluate the theoretical and methodological frameworks within which rural land-use problems can be analyzed. In , the discussions focus on the identification and characterization of resources and competing users of rural lands, stressing that a careful articulation of the problem is essential to effective planning. is aimed at developing appropriate information bases useful in planning for the problems related to the management of these rural lands. The discussion of policy options for rural resource use in builds upon the material in the previous two sections to provide a framework for an analysis of rural resource use.
A provocative collection of papers containing comprehensive reviews of previous research, teaching techniques, and pointers for direction of future study. Provides both a comprehensive assessment of the latest research on mathematical problem solving, with special emphasis on its teaching, and an attempt to increase communication across the active disciplines in this area.
The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. It puts particular emphasis on a thorough analysis of these phenomena and on the development of sound mathematical modeling approaches. Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems. The fundamental ambition of this book is to show that vagueness and un certainty can be handled adequately by using measure-theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms substantiates the claim that efficiency requirements do not necessar ily require renunciation of an uncompromising mathematical modeling. These results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions. The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems. It is in particular suit able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical background is necessary for reading this book. Essential parts of the material have been the subject of courses given by the first author for students of computer science and mathematics held since 1984 at the University in Braunschweig.
The connections between economics, planning, and the environment are receiv ing increased attention among scholars and policy makers in many countries. The common denominator among these three variables is the earth's life support sys tems, the ecosystems on which the world depends. When we describe our physi cal surroundings as a collection of possible uses, we are establishing linkages between economics, planning, and the environment. Because possible alternative uses compete with each other, and conflicts arise over scarce land resources, the varying environmental impacts of alternative uses are major concerns for the cur rent as well as the next generation. How to achieve sustainable development is the pressing question for today's environmental professionals. Environmental planners and engineers help us study the implications of our choices, and new technologies and techniques that improve the practice of environmental planning should enhance our ability to protect our future. The depletion of the earth's natural resources and loss of biodiversity, the deg radation of air, land, and water quality, the accumulation of greenhouse gases leading to changes in our climate, and the depletion of the ozone layer comprise only a partial list of environmental issues that concern our policy makers. To sup port their decisions, environmental planning must be a multidimensional and multidisciplinary activity that incorporates social, economic, political, geograph ical, and technical factors. Solutions for problems in these areas frequently re quire not only numerical analyses but also heuristic analyses, which in turn depend on the intuitive judgements of planners and engineers.
This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.
