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An Introduction to Fuzzy Control
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic to compute an appropriate control action. These fuzzy knowledge based controllers can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common for their European and American counterparts. The main aim of this book is to show that fuzzy contr...
An Introduction to Fuzzy Control
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.
Truth Maintenance Systems
The Truth Maintenance Workshop was held in August 1990 during the European Conference on Artificial Intelligence in Stockholm, Sweden. Ten selected papers, eight of them presented at the workshop, are included in this volume. The papers can be grouped into four main areas: - Meta-level control: the goal here is to specify some meta-criteria to control the behavior of the TMS. - Extensions of TMS: here the aim is to incorporate new mechanisms into TMS-like systems. - Foundations: there is now much interest in providing formal descriptions of TMS, proving results about them, and relating them with other non-monotonic formalisms. - Belief revision: TMS can be considered as providing support to manage the more general problem of belief revision.
Symbolic and Quantitative Approaches to Reasoning and Uncertainty
In recent years it has become apparent that an important part of the theory of artificial intelligence is concerned with reasoning on the basis of uncertain, incomplete, or inconsistent information. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.
Begründungsverwaltung
Dieses Buch enthält die schriftlichen Ausarbeitungen von Vorträgen, die am 9. Oktober 1986 auf einem Workshop über Reason Maintenance gehalten worden sind. Der Begriff Begründungsverwaltung als Übersetzung von Reason Maintenance soll die Gleichzeitigkeit der Aspekte der Speicherung und Aufbewahrung der Begründungen und der Erhaltung der Gültigkeit von Aussagen auf Grund der gültigen Begründungen ausdrücken. Reason Maintenance ist eine Fortführung und Verallgemeinerung von Truth Maintenance. Truth-Maintenance-Systeme sind Programmsysteme, die Speicher von Aussagen realisieren, die weitgehend nur auf aussagenlogischer Ebene formalisiert sind. Sie verwalten Aussagenmengen und ihre Be...
Knowledge Representation and Reasoning
Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.
EPIA'89
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Expert Systems in Engineering
The goal of the International Workshop on Expert Systems in Engineering is to stimulate the flow of information between researchers working on theoretical and applied research topics in this area. It puts special emphasis on new technologies relevant to industrial engineering expert systems, such as model-based diagnosis, qualitative reasoning, planning, and design, and to the conditions in which they operate, in real time, with database support. The workshop is especially relevant for engineering environments like CIM (computer integrated manufacturing) and process automation.
The Fuzzification of Systems
Today, Fuzzy Set Theory is the core discipline of so-called ‘soft’ computing, and provides new impetus for research in the field of artificial intelligence. In this fascinating book, the history of Fuzzy Set Theory and the ways it was first used are incorporated into the history of 20th century science and technology. Influences from philosophy, system theory and cybernetics stemming from the earliest part of the 20th century are considered alongside those of communication and control theory from mid-century.
