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This directory describes the current state-of-the-art and capabilities of expert systems technology, by giving a brief description of every expert system about which details have been published in English. This directory is a survey of those expert systems designed or developed so far for real world domains.
Siddall (engineering, McMaster Univ., Hamilton, Ontario) argues that engineers are perfectly capable of writing their own expert system computer programs, drawing on their pre-existing knowledge of languages such as FORTRAN and PASCAL, their expertise of the engineering method, their experience with
This practical guide provides an introduction for people who want to make use of expert systems. It covers some of the practical experiences gained since the emergence of expert systems and their application to real-world problems.
The aim of each volume of this series Guides to Information Sources is to reduce the time which needs to be spent on patient searching and to recommend the best starting point and sources most likely to yield the desired information. The criteria for selection provide a way into a subject to those new to the field and assists in identifying major new or possibly unexplored sources to those who already have some acquaintance with it. The series attempts to achieve evaluation through a careful selection of sources and through the comments provided on those sources.
This book focuses on the pioneering applications of an expert system in development relate to agriculture in many of the developing countries, introducing the reader to some of the key concepts underlying most expert systems.
Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.
The aim of this book is to explain to the reader - who until now may have possess little or no knowledge about expert systems - the possible applications and uses thereof in an introductory manner. After reading this book, the reader should understand what expert systems are, know where they can be introduced, and be able to judge correctly where they can be put to economic use in his company. The reader can then progress to more advanced texts (subject to his or her own judgment and particular interests), because we have ensured that the authors of each chapter included what they deemed (from their own individual viewpoint) to be a list of relevant literature references.