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The Next Generation of Information Systems: From Data to Knowledge: A Selection of Papers Presented at Two IJCAI-91 Workshops, Sydney, Australia, ... Notes in Computer Science, 611, Band 611) - Softcover

 
9783540556169: The Next Generation of Information Systems: From Data to Knowledge: A Selection of Papers Presented at Two IJCAI-91 Workshops, Sydney, Australia, ... Notes in Computer Science, 611, Band 611)

Inhaltsangabe

Traditional database systems have been able to manipulate large amounts of data efficiently, whilst artificial intelligence (and in particular expert systems) have reasoned with rules, but rarely with data. It has become evident that to build truly intelligent information systems, facilities are required from artificial intelligence and database and distributed technologies. This book consists of seventeen selected and revised papers on the next generation of information systems, based on papers presented at two workshops, one on integrating artificial intelligence and databases, and the other on intelligent and cooperating information systems. The papers address several core issues, such as intelligence, distribution, and multi-agent/cooperative systems, and focuses on designing and building such systems mainly through the use of intelligent agents. The book presents up-to-date developments in this interdisciplinary field, covering information systems, artificial intelligence, and distributed systems.

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Über die Autorin bzw. den Autor

Elisabeth Wilson-Evered is an accomplished researcher, educator, project manager, clinician and consultant in psychology, leadership, change management and innovation. She is currently Professor in the Institute of Health and Sport and has key roles advising and leading research transformation and organizational improvement initiatives. She has led many research and development projects in health including implementing new technologies and managing mergers. She is involved in large scale sophisticated research projects to improve health and wellbeing. She has a substantial publication record and is recognized for her strong engagement and collaboration skills as well as supporting others to grow and develop.John Zeleznikow is a Professor of Law and Technology at La Trobe University. Previously he was the Director of the Joseph Bell Centre for Forensic Statistics and Legal Reasoning at University of Edinburgh Law School. He pioneered the use of machine learning in Law and Online Dispute Resolution. He has conducted research and taught in Australian, US, French, Dutch, Israeli, Belgian, German, UK and Polish universities for forty-eight years. He is the author of four research monographs and ninety-five refereed journal articles.

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Traditional database systems have been able to manipulate large amounts of data efficiently, whilst artificial intelligence (and in particular expert systems) have reasoned with rules, but rarely with data. It has become evident that to build truly intelligent information systems, facilities are required from artificial intelligence and database and distributed technologies. This book consists of seventeen selected and revised papers on the next generation of information systems, based on papers presented at two workshops, one on integrating artificial intelligence and databases, and the other on intelligent and cooperating information systems. The papers address several core issues, such as intelligence, distribution, and multi-agent/cooperative systems, and focuses on designing and building such systems mainly through the use of intelligent agents. The book presents up-to-date developments in this interdisciplinary field, covering information systems, artificial intelligence, and distributed systems.

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