Current Trends in SNePS - Semantic Network Processing System: First Annual SNePS Workshop, Buffalo, NY, November 13, 1989, Proceedings: Workshop Proceedings (Lecture Notes in Computer Science)

Deepak Kumar

ISBN 10: 3540526269 / ISBN 13: 9783540526261

Editore: Springer 2008-06-13, 2008

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Codice articolo 6666-IUK-9783540526261

Dati bibliografici

• Titolo: Current Trends in SNePS - Semantic Network Processing System: First Annual SNePS Workshop, Buffalo, NY, November 13, 1989, Proceedings: Workshop Proceedings (Lecture Notes in Computer Science)
• Editore: Springer 2008-06-13
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540526269
• ISBN 13: 9783540526261
• Rilegatura: Perfect Paperback
• Condizione: New

Descrizione articolo

Riassunto

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.

Contenuti

Recent advances and developments: The SNePS 2.1 report.- Path-based inference revisited.- Expanding SNePS capabilities with LORE.- Order dependence of declarative knowledge representation.- An integrated model of acting and inference.- The structure of agency: Issues in the representation of agency and action.- Combining linguistic and pictorial information: Using captions to interpret newspaper photographs.- Knowledge based lexicons.- Representing fiction in SNePS.- Kinds of opacity and their representations.- Design of an emotion profiler using SNePS.- Implications of natural categories for natural language generation.