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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
SNePS is a state-of-the-art knowledge representation and reasoning system used for artificial intelligence and cognitive science research. It is a semantic network based system designed by the members of the SNePS Research Group. The First Annual SNePS Workshop was held on November 13, 1989, at the State University of New York at Buffalo. The aims of the workshop were to bring together researchers in AI working with or interested in SNePS. Twelve papers were presented by people from seven different research sites in the United States and abroad. The papers are of top quality and cover areas of ongoing research displaying the versatility of SNePS as an AI research tool. This volume contains all twelve papers.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
SNePS is a state-of-the-art knowledge representation and reasoning system used for artificial intelligence and cognitive science research. It is a semantic network based system designed by the members of the SNePS Research Group. The First Annual SNePS Workshop was held on November 13, 1989, at the State University of New York at Buffalo. The aims of the workshop were to bring together researchers in AI working with or interested in SNePS. Twelve papers were presented by people from seven different research sites in the United States and abroad. The papers are of top quality and cover areas of ongoing research displaying the versatility of SNePS as an AI research tool. This volume contains all twelve papers.